## The population of babies | Mathematics homework help

I need to have this done by Tomorrow night by 5PM if some one could help me with this.  It needs to be about the population of babies born in Humbolt county California in 2018.  The Topic scenario is babies born in Humboltc county

Create a 3- to 4-slide MicrosoftÂ® PowerPointÂ® presentation including:

• One slide on your topic and scenario (approximately 1 minute)
• Introduce the topic and scenario you selected.
• Explain why you are interested in the topic and scenario you chose.Â
• One to two slides of your visuals (approximately 2 to 3 minutes)Â
• These should be clear, neat, organized, and labeled.
• Explain why either the linear model or the exponential model is better for predicting future results. In your explanation, include the significance of the R2 value and how the R2 value influenced the model you chose.
• Explain how your visuals support your conclusion.
• One slide for a conclusion (approximately 1 minute)
• Restate your topic and scenario and give your findings for the scenario.
• Discuss how your topic and scenario relates to a real-world scenario.
• Discuss what you learned from this project.
• Include detailed speaker notes for each slide.

## Can someone help me with my assignments, quiz and journal in math 205

For the last 5 weeks, you have been learning about various applications of mathematics in the real world. Most of the application problems can be either used in your own life or can be used to analyze and have a better perspective and understanding of various news in the media, and thus become better and informed citizens of the country.

Here is a list of many such application concepts that were discussed throughout the book:

• Global melting (page 70)
• Save money and save the earth (page 99)
• Federal budget (page 173)
• How numbers can deceive polygraph, mammogram, and more (page 178)
• Measuring your money by understanding tax, interests, investments, loans, budget, etc. (Chapter 4)
• Should you believe a statistical study (Chapter 5B)
• Graphics in the media (Chapter 5D)
• Correlation and causality (Chapter 5E)
• Is polling reliable (page 414)
• Exponential and logarithmic scales and their use in understanding acidification of lakes and oceans and effect of exponential population rise (Chapter 8)
• Ocean acidification (page 526)
• Climate modeling (page 534)
• Mathematics of politics (Chapter 12)

For this journal entry, choose any two application problems from the above list and answer the following questions. The total word count, for all your answers, should be at least 300 words and not more than 500 words.

• What are the two topics that you have chosen?
• Why did you choose the topics?
• How will you use the applications in your own life? Be very specific.
• How can you use the applications in your own community? For example, if you believe in climate change and you find that your senator, congressperson, or members of your town council do not believe in climate change, how can you use your knowledge to change their beliefs? This is just an example. You can use this or your own examples and ideas to discuss how you can use your applications for the betterment of the society and the country.
• Did you know about all these math applications before you took the class? How has your perspective about math changed after taking this class?
• Were you afraid of math before taking this class? Are you still afraid? Why or why not?
• Reflect on your journey through the 5 weeks of this class.

## For prakeet only | Mathematics homework help

In this discussion, you will simplify and compare equivalent expressions written both in radical form and with rational (fractional) exponents. Read the following instructions in order and view the example to complete this discussion:

• Find the rational exponent problems assigned to you in the table below.
 If the last letter of your first name is On pages 576 – 577, do the following problems A or L 42 and 101 B or K 96 and 60 C or J 46 and 104 D or I 94 and 62 E or H 52 and 102 F or G 90 and 64 M or Z 38 and 72 N or Y 78 and 70 O or X 44 and 74 P or W 80 and 68 Q or V 50 and 76 R or U 84 and 66 S or T 54 and 100

• Simplify each expression using the rules of exponents and examine the steps you are taking.
• Incorporate the following five math vocabulary words into your discussion. Use bold font to emphasize the words in your writing (Do not write definitions for the words; use them appropriately in sentences describing the thought behind your math work.):
• Principal root
• Product rule
• Quotient rule
• Reciprocal
• nth root

Refer to Inserting Math Symbols for guidance with formatting. Be aware that with regards to the square root symbol, you will notice that it only shows the front part of a radical and not the top bar. Thus, it is impossible to tell how much of an expression is included in the radical itself unless you use parenthesis. For example, if we have √12 + 9 it is not enough for us to know if the 9 is under the radical with the 12 or not. Thus we must specify whether we mean it to say √(12) + 9 or √(12 + 9). As there is a big difference between the two, this distinction is important in your notation.

Another solution is to type the letters “sqrt” in place of the radical and use parenthesis to indicate how much is included in the radical as described in the second method above. The example above would appear as either “sqrt(12) + 9” or “sqrt(12 + 9)” depending on what we needed it to say.

Your initial post should be at least 250 words in length. Support your claims with examples from required material(s) and/or other scholarly resources, and properly cite any references. Respond to at least two of your classmates’ posts by Day 7.
Also the assignment and alkes

## Mat540 homework week 9 page 1 of 3 mat540 week 9 homework chapter 5

MAT540 Homework Week 9 Page 1 of 3 MAT540 Week 9 Homework Chapter 5 1. Rowntown Cab Company has 70 drivers that it must schedule in three 8-hour shifts. However, the demand for cabs in the metropolitan area varies dramatically according to time of the day. The slowest period is between midnight and 4:00 A.M. the dispatcher receives few calls, and the calls that are received have the smallest fares of the day. Very few people are going to the airport at that time of the night or taking other long distance trips. It is estimated that a driver will average \$80 in fares during that period. The largest fares result from the airport runs in the morning. Thus, the drivers who sart their shift during the period from 4:00 A.M. to 8:00 A.M. average \$500 in total fares, and drivers who start at 8:00 A.M. average \$420. Drivers who start at noon average \$300, and drivers who start at 4:00 P.M. average \$270. Drivers who start at the beginning of the 8:00 P.M. to midnight period earn an average of \$210 in fares during their 8-hour shift. To retain customers and acquire new ones, Rowntown must maintain a high customer service level. To do so, it has determined the minimum number of drivers it needs working during every 4-hour time segment- 10 from midnight to 4:00 A.M. 12 from 4:00 to 8:00 A.M. 20 from 8:00 A.M. to noon, 25 from noon to 4:00 P.M., 32 from 4:00 to 8:00 P.M., and 18 from 8:00 P.M. to midnight. a. Formulate and solve an integer programming model to help Rowntown Cab schedule its drivers. b. If Rowntown has a maximum of only 15 drivers who will work the late shift from midnight to 8:00 A.M., reformulate the model to reflect this complication and solve it c. All the drivers like to work the day shift from 8:00 A.M. to 4:00 P.M., so the company has decided to limit the number of drivers who work this 8-hour shift to 20. Reformulate the model in (b) to reflect this restriction and solve it. 2. Juan Hernandez, a Cuban athlete who visits the United States and Europe frequently, is allowed to return with a limited number of consumer items not generally available in Cuba. The items, which are carried in a duffel bag, cannot exceed a weight of 5 pounds. Once Juan is in Cuba, he sells the items at highly inflated prices. The weight and profit (in U.S. dollars) of each item are as follows: MAT540 Homework Week 9 Page 2 of 3 Item Weight (lb.) Profit Denim jeans 2 \$90 CD players 3 150 Compact discs 1 30 Juan wants to determine the combination of items he should pack in his duffel bag to maximize his profit. This problem is an example of a type of integer programming problem known as a “knapsack” problem. Formulate and solve the problem. 3. The Texas Consolidated Electronics Company is contemplating a research and development program encompassing eight research projects. The company is constrained from embarking on all projects by the number of available management scientists (40) and the budget available for R&D projects (\$300,000). Further, if project 2 is selected, project 5 must also be selected (but not vice versa). Following are the resources requirement and the estimated profit for each project. Project Expense (\$1,000s) Management Scientists required Estimated Profit (1,000,000s) 1 50 6 0.30 2 105 8 0.85 3 56 9 0.20 4 45 3 0.15 5 90 7 0.50 6 80 5 0.45 7 78 8 0.55 8 60 5 0.40 Formulate the integer programming model for this problem and solve it using the computer. 4. Corsouth Mortgage Associates is a large home mortgage firm in the southeast. It has a poll of permanent and temporary computer operators who process mortgage accounts, including posting payments and updating escrow accounts for insurance and taxes. A permanent operator can process 220 accounts per day, and a temporary operator can process 140 accounts per day. On average, the firm must process and update at least 6,300 accounts daily. The company has 32 computer MAT540 Homework Week 9 Page 3 of 3 workstations available. Permanent and temporary operators work 8 hours per day. A permanent operator averages about 0.4 error per day, whereas a temporary operator averages 0.9 error per day. The company wants to limit errors to 15 per day. A permanent operator is paid \$120 per day wheras a temporary operator is paid \$75 per day. Corsouth wants to determine the number of permanent and temporary operators it needs to minimize cost. Formulate, and solve an integer programming model for this problem and compare this solution to the non-integer solution. 5. Globex Investment Capital Corporation owns six companies that have the following estimated returns (in millions of dollars) if sold in one of the next 3 years: Company Year Sold (estimated returns, \$1,000,000s) 1 2 3 1 \$14 \$18 \$23 2 9 11 15 3 18 23 27 4 16 21 25 5 12 16 22 6 21 23 28 To generate operating funds, the company must sell at least \$20 million worth of assets in year 1, \$25 million in year 2, and \$35 million in year 3. Globex wants to develop a plan for selling these companies during the next 3 years to maximize return. Formulate an integer programming model for this problem and solve it by using the computer.

## Kim woods only need it also in excel

Assignment 2: LASA 1: Analysis of Credit Card Debt

Credit card debt is a reality for many in today’s world. Suppose that you had a \$5,270.00 balance on a credit card with an annual percentage rate (APR) of 15.53 percent. Consider the following questions and prepare a report based upon your conclusions.  This report must be submitted as a Word document and attachment to the M3: Assignment 2 Dropbox. Consider the following questions and prepare a report based upon your conclusions.  Your report should be created as a Word document, but you are encouraged to create graphs and charts (which can be made in Excel and copied to the Word document) to illustrate your points. Remember: make sure you explain what the charts and/or graphs mean; do not assume the reader understands what they mean.

1. Most credit cards require that you pay a minimum monthly payment of two percent of the balance. Based upon a balance of \$5,270.00, what would be the minimum monthly payment (assuming no other fees are being applied)?
2. Considering the minimum payment you just calculated, determine the amount of interest and the amount that was applied to reduce the principal. Hint: You’ll need to find the total interest for the year first.
3. Consider one of your credit cards. What is the balance? How is the minimum monthly payment determined? What would be the minimum payment? How much of the minimum payment goes towards interest? How much of the minimum payment goes towards the principal? If you do not want to share an actual balance or do not have a credit card, calculate these amounts using an imaginary credit card balance.
4. Now, examine the terms of one of your credit cards or other revolving debt. Are there other charges that the credit card company is applying to your account? Are you receiving a special rate for a limited time? Does your card charge an annual service charge or an inactivity fee?
5. Examine a credit card bill (or other revolving debt) and see how long it will take to pay off your debt if you paid only the minimum payments (you can also use an online calculator like the one athttp://www.bankrate.com/calculators/managing-debt/minimum-payment-calculator.aspx). What steps could you take to pay off this credit card (or debt) sooner? Determine the percentage of the principal that you need to pay down in order to pay off the credit card in the time frame of your choosing.
6. Many Americans find themselves amassing large amounts of credit card (or other revolving) debt at an early age. What advice concerning the use of credit cards and the fees they charge would you provide to a young adult planning on getting a credit card?

## Mat 540 week 9 homework mat540 week 9 homework mat/540 week 9

Rowntown Cab Company has 70 drivers that it must schedule in three 8-hour shifts. However, the

demand for cabs in the metropolitan area varies dramatically according to time of the day. The slowest period is between midnight and 4:00 A.M. the dispatcher receives few calls, and the calls that are received have the smallest fares of the day. Very few people are going to the airport at that time of the night or taking other long distance trips. It is estimated that a driver will average \$80 in fares during that period. The largest fares result from the airport runs in the morning. Thus, the drivers who sart their shift during the period from 4:00 A.M. to 8:00 A.M. average \$500 in total fares, and drivers who start at 8:00 A.M. average \$420. Drivers who start at noon average \$300, and drivers who start at 4:00 P.M. average \$270. Drivers who start at the beginning of the 8:00 P.M. to midnight period earn an average of \$210 in fares during their 8-hour shift.

To retain customers and acquire new ones, Rowntown must maintain a high customer service level.

To do so, it has determined the minimum number of drivers it needs working during every 4-hour time segment- 10 from midnight to 4:00 A.M. 12 from 4:00 to 8:00 A.M. 20 from 8:00 A.M. to

noon, 25 from noon to 4:00 P.M., 32 from 4:00 to 8:00 P.M., and 18 from 8:00 P.M. to midnight.

a. Formulate and solve an integer programming model to help Rowntown Cab schedule its

drivers.

b. If Rowntown has a maximum of only 15 drivers who will work the late shift from

midnight to 8:00 A.M., reformulate the model to reflect this complication and solve it

c. All the drivers like to work the day shift from 8:00 A.M. to 4:00 P.M., so the company

has decided to limit the number of drivers who work this 8-hour shift to 20. Reformulate the model in (b) to reflect this restriction and solve it.

Juan Hernandez, a Cuban athlete who visits the United States and Europe frequently, is allowed to return with a limited number of consumer items not generally available in Cuba. The items, which are carried in a duffel bag, cannot exceed a weight of 5 pounds. Once Juan is in Cuba, he sells the

items at highly inflated prices. The weight and profit (in U.S. dollars) of each item are as follows:

MAT540 Homework

Week 9

Page 2 of 3

Item                            Weight (lb.)                Profit

Denim jeans                2                                \$90

CD players                 3                                150

Compact discs             1                                30

Juan wants to determine the combination of items he should pack in his duffel bag to maximize

his profit. This problem is an example of a type of integer programming problem known as a “knapsack” problem. Formulate and solve the problem.

3.

The Texas Consolidated Electronics Company is contemplating a research and development

program encompassing eight research projects. The company is constrained from embarking on all projects by the number of available management scientists (40) and the budget available for R&D projects (\$300,000). Further, if project 2 is selected, project 5 must also be selected (but not vice versa). Following are the resources requirement and the estimated profit for each project.

Project

1

2345678

Expense

(\$1,000s)

50

105 56 45 90 80 78 60

Management

Scientists required

68937585

Estimated Profit

(1,000,000s)

0.30 0.85 0.20 0.15 0.50 0.45 0.55 0.40

4.

Formulate the integer programming model for this problem and solve it using the computer.

Corsouth Mortgage Associates is a large home mortgage firm in the southeast. It has a poll of

permanent and temporary computer operators who process mortgage accounts, including posting payments and updating escrow accounts for insurance and taxes. A permanent operator can process 220 accounts per day, and a temporary operator can process 140 accounts per day. On average, the firm must process and update at least 6,300 accounts daily. The company has 32 computer

MAT540 Homework

Week 9

Page 3 of 3

workstations available. Permanent and temporary operators work 8 hours per day. A permanent

operator averages about 0.4 error per day, whereas a temporary operator averages 0.9 error per day. The company wants to limit errors to 15 per day. A permanent operator is paid \$120 per day wheras a temporary operator is paid \$75 per day. Corsouth wants to determine the number of permanent and temporary operators it needs to minimize cost. Formulate, and solve an integer programming model for this problem and compare this solution to the non-integer solution.

5.       Globex Investment Capital Corporation owns six companies that have the following estimated

returns (in millions of dollars) if sold in one of the next 3 years:

Year Sold

(estimated returns, \$1,000,000s)

Company

1

23456

1

\$14

9

18 16 12 21

2

\$18

11 23 21 16 23

3

\$23

15 27 25 22 28

To generate operating funds, the company must sell at least \$20 million worth of assets in year 1, \$25

million in year 2, and \$35 million in year 3. Globex wants to develop a plan for selling these companies during the next 3 years to maximize return.

Formulate an integer programming model for this problem and solve it by using

## Regression and correlation methods: correlation, anova, and least

The following are three important statistics, or methodologies, for using correlation and regression:

• Pearson’s correlation coefficient
• ANOVA
• Least squares regression analysis

In this assignment, solve problems related to these three methodologies.

Part 1: Pearson’s Correlation Coefficient

For the problem that demonstrates the Pearson’s coefficient, you will use measures that represent characteristics of entire populations to describe disease in relation to some factor of interest, such as age; utilization of health services; or consumption of a particular food, medication, or other products.

To describe a pattern of mortality from coronary heart disease (CHD) in year X, hypothetical death rates from ten states were correlated with per capita cigarette sales in dollar amount per month. Death rates were highest in states with the most cigarette sales, lowest in those with the least sales, and intermediate in the remainder. Observation contributed to the formulation of the hypothesis that cigarette smoking causes fatal CHD. The correlation coefficient, denoted by r, is the descriptive measure of association in correlational studies.

Table 1: Hypothetical Analysis of Cigarette Sales and Death Rates Caused by CHD

 State Cigarette sales Death rate 1 102 5 2 149 6 3 165 6 4 159 5 5 112 3 6 78 2 7 112 5 8 174 7 9 101 4 10 191 6

Using the Minitab statistical procedure:

• Calculate Pearson’s correlation coefficient.
• Create a two-way scatter plot.

In addition to the above:

• Explain the meaning of the resulting coefficient, paying particular attention to factors that affect the interpretation of this statistic, such as the normality of each variable.
• Provide a written interpretation of your results in APA format.

Part 2: ANOVA

Let’s take hypothetical data presenting blood pressure and high fat intake (less than 3 grams of total fat per serving) or low fat intake (less than 1 gram of saturated fat) of an individual.

Table 2: Blood Pressure and Fat Intake

 Individual Blood Pressure Fat Intake 1 135 1 2 130 1 3 135 1 4 128 0 5 121 0 6 133 0 7 145 1 8 137 1 9 148 1 10 134 0 11 150 0 12 121 0 13 117 1 14 128 1 15 121 0 16 124 1 17 132 0 18 121 0 19 120 0 20 124 0

Using the Minitab statistical procedure:

• Calculate a one-way ANOVA to test the null hypothesis that the mean of each group is the same.
• Use different variables as grouping variables (fat intake high 1; fat intake low 0) and compare the results.
• Calculate an F-test for an overall comparison of means to see whether any differences are significant.

In addition, in a Microsoft Word document, provide a written interpretation of your results in APA format.

Part 3: Least Squares

The following are hypothetical data on the number of doctors per 10,000 inhabitants and the rate of prematurely delivered newborns for different countries of the world.

Table 3: Number of Doctors Verses the Rate of Prematurely Delivered Newborns

 Country Doctors per 100,000 Early births per 100,000 1 3 92 2 5 88 3 5 85 4 6 86 5 7 89 6 7 75 7 7 70 8 8 68 9 8 69 10 10 50 11 12 45 12 12 41 13 15 38 14 18 35 15 19 30 16 23 6

Using the Minitab statistical procedure:

• Apply least squares analysis to fit a regression line to the data.
• Calculate an F-test and a t-test to test for the significance of the regression.
• Test for goodness of fit using R2.

In addition, in a Microsoft Word document, provide a written interpretation of your results in APA format.

## difference of the two teaching methods

ING STARSAssignment Wi…\$277.5058 timesAlma7\$205.0058 timesProfessor Mus…\$547.0058 timesProf. Sirleem\$144.0058 timesEngineer\$277.0058 timesViewPost answerRefundHomework NotificationQuestionSubmitted byJsmotaon Fri, 2014-05-02 08:31due on Fri, 2014-05-02 11:00not answeredHand shake withuday_ra:Complete(Goto thread)Jsmota is willing to pay \$5.00
SPSS DATA HOMEWORK
Find the 99% confidence interval for the population difference of the two teaching methods. Explain how these confidence intervals confirm the results of the t-test conducted in SPSS.Paired Samples CorrelationsNCorrelationSig.Pair 1Teaching Method & (New)Teaching Method8.546.162Paired Samples StatisticsMeanNStd. DeviationStd. Error MeanPair 1Teaching Method76.88810.2743.632(New)Teaching Method85.38811.5504.084Paired Samples TestPaired DifferencestdfSig. (2-tailed)MeanStd. DeviationStd. Error Mean99% Confidence Interval of the DifferenceLowerUpperPair 1Teaching Method – (New)Teaching Method-8.50010.4613.698-21.4434.443-2.2987.055A group of 30 participants is divided in half based on their self-rating of the vividness of their visual imagery. Each participant is tested on how many colors of objects he or she can correctly recall from a briefly seen display. What are some of the limitations that prevent you from concluding that the visual imagerycausesimproved color recall in this type of experiment?Group StatisticsVisual ImageryNMeanStd. DeviationStd. Error MeanRecall of colorsVivid1512.534.5961.187Less Vivid158.134.0151.037Independent Samples TestLevene’s Test for Equality of Variancest-test for Equality of MeansFSig.tdfSig. (2-tailed)Mean DifferenceStd. Error Difference99% Confidence Interval of the DifferenceLowerUpperRecall of colorsEqual variances assumed.479.4952.79228.0094.4001.576.0468.754Equal variances not assumed2.79227.504.0094.4001.576.0408.760

## Math125 | Mathematics homework help

MATH125: Unit 4 Individual Project
Counting Techniques and Introduction to Probability
State Total
murders1 Total
firearms Handguns Rifles Shotguns Firearms
(type
unknown) Knives or
cutting
instruments Other
weapons Hands, fists,
feet, etc.2
Alaska 29 16 5 0 3 8 6 5 2
Arizona 339 222 165 14 9 34 49 59 9
Arkansas 153 110 52 4 6 48 22 17 4
California 1,790 1,220 866 45 50 259 261 208 101
Colorado 147 73 39 3 5 26 22 31 21
Connecticut 128 94 54 1 1 38 18 10 6
Delaware 41 28 18 0 3 7 8 2 3
District of Columbia 108 77 37 0 1 39 21 9 1
Georgia 522 370 326 16 16 12 61 83 8
Hawaii 7 1 0 1 0 0 2 1 3
Idaho 32 17 15 1 0 1 4 8 3
Illinois3 452 377 364 1 5 7 29 29 17
Indiana 284 183 115 9 12 47 36 43 22
Iowa 44 19 7 0 2 10 10 10 5
Kansas 110 73 31 3 5 34 11 16 10
Kentucky 150 100 77 6 5 12 13 24 13
Louisiana 485 402 372 10 8 12 28 29 26
Maine 25 12 3 1 1 7 4 7 2
Maryland 398 272 262 2 5 3 75 34 17
Massachusetts 183 122 52 0 1 69 30 22 9
Michigan 613 450 267 29 15 139 43 89 31
Minnesota 70 43 36 3 3 1 12 12 3
Mississippi 187 138 121 6 4 7 26 14 9
Missouri 364 276 158 13 9 96 28 42 18
Montana 18 7 2 3 1 1 4 5 2
Nebraska 65 42 35 2 1 4 7 9 7
Nevada 129 75 46 2 1 26 20 25 9
New Hampshire 16 6 1 2 1 2 4 6 0
New Jersey 379 269 238 1 5 25 51 41 18
New Mexico 121 60 45 2 2 11 21 32 8
New York 774 445 394 5 16 30 160 143 26
North Carolina 489 335 235 26 19 55 60 57 37
North Dakota 12 6 3 0 0 3 4 0 2
Ohio 488 344 187 8 13 136 44 80 20
Oklahoma 204 131 99 8 9 15 26 21 26
Oregon 77 40 13 1 2 24 22 10 5
Pennsylvania 636 470 379 8 19 64 73 66 27
Rhode Island 14 5 1 0 0 4 5 4 0
South Carolina 319 223 126 10 12 75 38 40 18
South Dakota 15 5 3 1 0 1 4 3 3
Tennessee 373 244 172 7 13 52 51 62 16
Texas 1,089 699 497 37 48 117 175 134 81
Utah 51 26 15 4 1 6 5 9 11
Vermont 8 4 2 0 0 2 2 2 0
Virginia 303 208 110 10 15 73 33 41 21
Washington 161 79 58 1 3 17 29 36 17
West Virginia 74 43 23 10 3 7 11 13 7
Wisconsin 135 80 60 7 3 10 21 13 21
Wyoming 15 11 7 0 0 4 0 1 3
Virgin Islands 38 31 27 0 0 4 5 2 0
1 Total number of murders for which supplemental homicide data were received.
2 Pushed is included in hands, fists, feet, etc.
3 Limited supplemental homicide data were received.
(FBI, 2011)
The table above for murders by weapon types is from the FBI’s Criminal Justice Services Division and represents the reported murders in each state for the year 2011. (Please see http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-20 for the referenced table.)
Be sure to show ALL of your work details. Submit your answers in a Word document in the Unit 4 IP Submissions area.
1. How many ways are there for choosing 5 states from the top 10 states with the most murders if order is considered? What about if order is not considered?
2. What would be the probability that randomly choosing 3 states from the top 6 murder states would actually be the top 3 states for murders in the United States in exact correct decreasing order (1. CA, 2. TX, 3. NY)?
3. Calculate the mean, median, and mode for the total murders in the top 20 states.
4. Calculate the standard deviation and variance for the total murders in the top 20 states.
5. In Texas, given that a specific person was murdered by a firearm, what is the probability that the murder was committed with a rifle?
6. In California, given that a specific person was murdered by a firearm, what is the probability that the murder was committed either with a rifle or a shotgun?
7. Choose 2 states, and determine how much more likely a person is to be murdered using a handgun in one state than the other if the person is murdered.
8. For what reasons do you think California and Texas seemingly had a disproportionate number of murders than New York and Pennsylvania in 2011?

## Math 104 midterm exam | Mathematics homework help

Name:___________________________________________

1. A 99% confidence interval estimate can be interpreted to mean that

a. if all possible samples are taken and confidence interval estimates

are developed, 99% of them would include the true population mean

somewhere within their interval.

b. we have 99% confidence that we have selected a sample whose interval

does include the population mean.

c. Both of the above.

d. None of the above.

2. Which of the following is not true about the Student’s t distribution?

a. It has more area in the tails and less in the center than does the

normal distribution.

b. It is used to construct confidence intervals for the population mean

when the population standard deviation is known.

c. It is bell shaped and symmetrical.

d. As the number of degrees of freedom increases, the t distribution

approaches the normal distribution.

3. A confidence interval was used to estimate the proportion of statistics

students that are females. A random sample of 72 statistics students

generated the following 90% confidence interval: (0.438, 0.642). Based

on the interval above, is the population proportion of females equal to

0.60?

a. No, and we are 90% sure of it.

b. No. The proportion is 54.17%.

c. Maybe. 0.60 is a believable value of the population proportion based

on the information above.

d. Yes, and we are 90% sure of it.

4. A confidence interval was used to estimate the proportion of statistics

students that are female. A random sample of 72 statistics students

generated the following 90% confidence interval: (0.438, 0.642). Using

the information above, what size sample would be necessary if we wanted

to estimate the true proportion to within Ô0.08 using 95% confidence?

a. 105

b. 150

c. 420

d. 597

5. When determining the sample size necessary for estimating the true

population mean, which factor is not considered when sampling with

replacement?

a. The population size.

b. The population standard deviation.

c. The level of confidence desired in the estimate.

d. The allowable or tolerable sampling error.

Page 2

6. An economist is interested in studying the incomes of consumers in a

particular region. The population standard deviation is known to be

\$1,000. A random sample of 50 individuals resulted in an average income

of \$15,000. What is the upper end point in a 99% confidence interval for

the average income?

a. \$15,052

b. \$15,141

c. \$15,330

d. \$15,364

7. An economist is interested in studying the incomes of consumers in a

particular region. The population standard deviation is known to be

\$1,000. A random sample of 50 individuals resulted in an average income

of \$15,000. What sample size would the economist need to use for a 95%

confidence interval if the width of the interval should not be more than

\$100?

a. n = 1537

b. n = 385

c. n = 40

d. n = 20

8. The head librarian at the Library of Congress has asked her assistant

for an interval estimate of the mean number of books checked out each

day. The assistant provides the following interval estimate: from 740 to

920 books per day. If the head librarian knows that the population

standard deviation is 150 books checked out per day, and she asked her

assistant to use 25 days of data to construct the interval estimate,

what confidence level can she attach to the interval estimate?

a. 99.7%

b. 99.0%

c. 98.0%

d. 95.4%

9. Which of the following would be an appropriate null hypothesis?

a. The population proportion is less than 0.65.

b. The sample proportion is less than 0.65.

c. The population proportion is no less than 0.65.

d. The sample proportion is no less than 0.65.

10. If we are performing a two-tailed test of whether É = 100, the

probability of detecting a shift of the mean to 105 will be ________ the

probability of detecting a shift of the mean to 110.

a. less than

b. greater than

c. equal to

d. not comparable to

Page 3

11. Which of the following statements is not true about the level of

significance in a hypothesis test?

a. The larger the level of significance, the more likely you are to

reject the null hypothesis.

b. The level of significance is the maximum risk we are willing to

accept in making a Type I error.

c. The significance level is also called the Ã level.

d. The significance level is another name for Type II error.

12. A _________________ is a numerical quantity computed from the data of a

sample and is used in reaching a decision on whether or not to reject

the null hypothesis.

a. significance level

b. critical value

c. test statistic

d. parameter

TABLE 7-2

A student claims that he can correctly identify whether a person is a

business major or an agriculture major by the way the person dresses.

Suppose in actuality that he can correctly identify a business major 87% of

the time, while 16% of the time he mistakenly identifies an agriculture

major as a business major. Presented with one person and asked to identify

the major of this person (who is either a business or agriculture major), he

considers this to be a hypothesis test with the null hypothesis being that

the person is a business major and the alternative that the person is an

agriculture major.

13. Referring to Table 7-2, what would be a Type I error?

a. Saying that the person is a business major when in fact the person is

b. Saying that the person is a business major when in fact the person is

an agriculture major.

c. Saying that the person is an agriculture major when in fact the

person is a business major.

d. Saying that the person is an agriculture major when in fact the

person is an agriculture major.

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TABLE 7-6

The quality control engineer for a furniture manufacturer is interested in

the mean amount of force necessary to produce cracks in stressed oak

furniture. The mean for unstressed furniture is 650 psi. She performs a

two-tailed test of the null hypothesis that the mean for the stressed oak

furniture is 650. The calculated value of the Z test statistic is a positive

number that leads to a p value of 0.080 for the test.

14. Referring to Table 7-6, suppose the engineer had decided that the

alternative hypothesis to test was that the mean was less than 650. What

would be the p value of this one-tailed test?

a. 0.040

b. 0.160

c. 0.840

d. 0.960

15. The t test for the mean difference between 2 related populations assumes

that the respective

a. sample sizes are equal.

b. sample variances are equal.

c. populations are approximately normal or sample sizes are large

enough.

d. All of the above.

16. In testing for differences between the means of 2 related populations

the null hypothesis is:

a. H0: ÉD = 2.

b. H0: ÉD = 0.

c. H0: ÉD < 0.

d. H0: ÉD > 0.

17. To use the Wilcoxon Rank Sum Test as a test for location, we must assume

that

a. the obtained data are either ranks or numerical measurements both

within and between the 2 samples.

b. both samples are randomly and independently drawn from their

respective populations.

c. both underlying populations from which the samples were drawn are

equivalent in shape and dispersion.

d. All the above.

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TABLE 8-4

A real estate company is interested in testing whether, on average, families

in Gotham have been living in their current homes for less time than

families in Metropolis have. A random sample of 100 families from Gotham and

a random sample of 150 families in Metropolis yield the following data on

length of residence in current homes.

Gotham: ÐG = 35 months, sG2 = 900 Metropolis: ÐM = 50 months, sM2 = 1050

18. Referring to Table 8-4, what is(are) the critical value(s) of the

relevant hypothesis test if the level of significance is 0.01?

a. t  Z = -1.96

b. t  Z = Ô1.96

c. t  Z = -2.080

d. t  Z = -2.33

19. Referring to Table 8-4, what is the standardized value of the estimate

of the mean of the sampling distribution of the difference between

sample means?

a. -8.75

b. -3.75

c. -2.33

d. -1.96

TABLE 8-5

To test the effects of a business school preparation course, eight (8)

students took a general business test before and after the course. The

results are given below.

Exam Score Exam Score

Student Before Course (1) After Course (2)

1 530 670

2 690 770

3 910 1000

4 700 710

5 450 550

6 820 870

7 820 770

8 630 610

20. Referring to Table 8-5, at the 0.05 level of significance, the decision

for this hypothesis test would be:

a. reject the null hypothesis.

b. do not reject the null hypothesis.

c. reject the alternative hypothesis.

d. It cannot be determined from the information given.