Questions
Grades on an english test can be modeled as a normal distribution with mean 80 and...

Grades on an english test can be modeled as a normal distribution with mean 80 and standard deviation 5.

A) if the english department is awarding students with test grades in the top 5%, find the lowest grade a student needs to receive the award.

B) A student is randomly selected from the class so the distribution of this student's test grade is N(80,5), what is the probability that this student scored above a 90?

C) What is the probability that the student in part b scored exactly a 90?

D) If 5 students are randomly selected from the class. what is the probability that exactly 3 of them scored above a 90?

E) If 20 students are randomly selected from the class what is the probability that at least 12 of them scored above an 80?

In: Math

How do you perform hypothesis testing on multiple regression data from ANOVA table step-by-step? Please provide...

How do you perform hypothesis testing on multiple regression data from ANOVA table step-by-step? Please provide example.

In: Math

Many regions along the coast in North and South Carolina and Georgia have experienced rapid population...

Many regions along the coast in North and South Carolina and Georgia have experienced rapid population growth over the last 10 years. It is expected that the growth will continue over the next 10 years.

The director gathered the following sample information.

Family Food Income Size
1 $3.84 $73.98 1
2 4.08 54.90 2
3 5.76 53.20 4
4 3.48 52.02 1
5 4.20 65.70 2
6 4.80 53.64 4
7 4.32 79.74 3
8 5.04 68.58 4
9 6.12 165.60 5
10 3.24 64.80 1
11 4.80 138.42 3
12 3.24 125.82 1
13 7.20 77.58 7
14 6.40 94.15 5
15 6.60 135.76 8
16 5.40 141.30 3
17 6.00 36.90 5
18 5.40 56.88 4
19 3.36 71.82 1
20 4.68 69.48 3
21 4.32 54.36 2
22 5.52 87.66 5
23 4.56 38.16 3
24 5.40 43.74 7
25 5.90 62.40 6
(a-1)

Develop a correlation matrix. (Round your answers to 3 decimal places. Negative amounts should be indicated by a minus sign.)

Food Income
  Income      
  Size            
(b-1) Determine the regression equation. (Round your answers to 3 decimal places. Leave no cells blank - be certain to enter "0" wherever required.)
  The regression equation is: Food =  +  Income +  Size.
(b-2)

How much does an additional family member add to the amount spent on food? (Round your answer to the nearest dollar amount.)

  Another member of the family adds $  to the food bill.
(c-1) What is the value of R2? (Round your answer to 3 decimal places.)
(c-2)

State the decision rule for 0.05 significance level. H0: β1 = β2 = 0; H1: Not all βi's are 0. (Round your answer to 2 decimal places.)

  Source DF SS MS F p
  Regression                         
  Error               
  Total          
(c-3) Complete the ANOVA (Leave no cells blank - be certain to enter "0" wherever required. Round SS, MS to 3 decimal places and F to 2 decimal places.)
(d-1)

Complete the given below table. (Leave no cells blank - be certain to enter "0" wherever required. Do not round the intermediate calculations. Round T to 2 decimal places and all other values to 3 decimal places.)

  Predictor Coef SE Coef T P
  Income                            
  Size                            

In: Math

A regional planner is studying the demographics in a region of a particular state. She has...

A regional planner is studying the demographics in a region of a particular state. She has gathered the following data on nine counties.

Country Median
Income
Median
Age
Coastal
A $47,963 56.4 1
B 49,585 58.9 1
C 46,440 57.5 1
D 46,391 41.2 1
E 34,806 39.4 0
F 39,416 41.2 1
G 35,549 41.3 0
H 30,796 33.5 0
J 32,233 21.7 1
(a)

Is there a linear relationship between the median income and median age? (Round your answer to 3 decimal places.)

  (Click to select)NoYes, the correlation of Income and Median Age is .
(b) Which variable is the "dependent" variable?
Median Income
Median Age
(c-1)

Use statistical software to determine the regression equation. (Round your answers to 2 decimal places.)

  Income =  +  Median Age.
(c-2)

Interpret the value of the slope in a simple regression equation. (Round your answer to the nearest whole number.)

  For each year increase in age, the income increases $  on average.
(d)

Include the aspect that the county is "coastal" or not in a multiple linear regression analysis using a "dummy" variable. Does it appear to be a significant influence on incomes? (Negative amounts should be indicated by a minus sign. Round your answers to 2 decimal places.)

  Income =  +  Median Age +  Coastal
(e)

Test each of the individual coefficients to see if they are significant. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required.)

  Predictor T P
  Median Age          
  Coastal          

In: Math

A portfolio manager expects to purchase a portfolio of stocks in 60 days. In order to...

A portfolio manager expects to purchase a portfolio of stocks in 60 days. In order to hedge against a potential price increase over the next 60 days, she decides to take a long position on a 60-day forward contract on the S&P 500 stock index. The index is currently at 1150. The continuously compounded dividend yield is 1.85 percent. The discrete risk-free rate is 4.35 percent. Calculate the no-arbitrage forward price on this contract.

In: Math

One hundred students were placed into two groups. The two groups were the South Beach diet...

One hundred students were placed into two groups. The two groups were the South Beach diet and Keto diet. Below are the data for pounds lost after 1 month of dieting. Assume the data are normal and that the sample size is 100 (but, use the values you have). Tell me if there is a difference between the two diets. Show all of your work.

SB

Keto

2.5

3.5

3.2

3.7

3.0

4.0

5

4.1

2.3

4.0

2.7

2.5

1.0

2.3

In: Math

The following data are from 10 individuals that were treated with 2 different drugs that are...

The following data are from 10 individuals that were treated with 2 different drugs that are said to reduce acid in the stomach. Below are the pH’s of the stomach contents after giving the drugs to each patient. Tell me if one of the drugs are more effective than the other. Remember that a low pH is more acidic.

Pepcid

Prilosec

2.3

3.1

2.4

2.7

2.7

3.1

3.0

3.2

3.1

2.1

In: Math

A researcher randomly assigns 33 subjects to one of three groups. Group 1 receives technical dietary...

A researcher randomly assigns 33 subjects to one of three groups. Group 1 receives technical dietary information interactively from an on-line website. Group 2 receives the same information from a nurse practitioner, while Group 3 receives the information from a video tape made by the same nurse practitioner.

The researcher looked at three different ratings of the presentation; difficulty, usefulness, and importance to determine if there is a difference in the modes of presentation. In particular, the researcher is interested in whether the interactive website is superior because that is the most cost-effective way of delivering the information.

1. Run the appropriate analysis of the data and interpret the results.

2. How could this study have been done differently? Why or why not would this approach be better?

Group

Usefulness

Difficulty

Importance

1

20

5

18

1

25

9

8

1

23

15

20

1

16

9

22

1

20

6

22

1

28

14

8

1

20

6

13

1

25

8

13

1

24

10

24

1

18

10

20

1

17

9

4

2

28

7

14

2

25

14

5

2

26

9

20

2

19

15

22

2

29

14

12

2

15

6

2

2

29

10

5

2

26

11

1

2

22

5

2

2

15

15

14

2

29

6

4

2

15

6

3

3

22

8

12

3

27

9

14

3

21

10

7

3

17

9

1

3

16

7

12

3

19

9

7

3

23

10

1

3

27

9

5

3

23

9

6

3

16

14

22

In: Math

. Many people believe that having more money will make them happy. Dr. Shakespeare designed an...

. Many people believe that having more money will make them happy. Dr. Shakespeare designed an experiment in which he randomly and evenly assigned 15 people to three groups. He gave one group nothing, gave the second group a little money, and gave the third group a lot of money. The next day, he asked each group to report their happiness on a mood scale (0-100 with a higher score indicating happier mood). The first group reported an average of 80, the second 90, and the third group 85.  Using the SS totalprovided in the following table to examine if the amount of money has an effect on the perceived happiness (make sure to fill out the ANOVA table). If yes, how? (14pts)

Source

SS

df

MS

F

Factor A

___

___

___

____

Error

___

___

___

Total

500

___

In: Math

QUESTION 1 Perform an Fmax test on the following 2 samples, and then choose the correct...

QUESTION 1

  1. Perform an Fmax test on the following 2 samples, and then choose the correct statement.

    Sample A: 8, 6, 8, 6, 8, 6 (M = 7, n = 6)
    Sample B: 12, 10, 10, 16, 12, 12 (M = 12, n = 6)

    Fmax = 4.0, and since the critical Fmax value is 7.15, you conclude that the data meets the homogeneity of variance assumption.

    Fmax = 3.54, and since the critical Fmax value is 7.15, you conclude that the data meets the homogeneity of variance assumption.

    Fmax = 3.54, and since the critical Fmax value is 1.96, you conclude that the data violates the homogeneity of variance assumption.

    Fmax = 4.0, and since the critical Fmax value is 7.15, you conclude that the data violates the homogeneity of variance assumption.

  2. Perform an Fmax test on the following 2 samples, and then choose the correct statement [G&W Chp10].

    Sample A: 7, 5, 8, 7, 7, 7, 8, 7 (M = 7, n = 8)
    Sample B: 16, 8, 12, 10, 10, 16, 12, 12 (M = 12, n = 8)

    Fmax = 8.0, and since the critical Fmax value is 4.99, you conclude that the data meets the homogeneity of variance assumption.

    Fmax = 8.0, and since the critical Fmax value is 4.99, you conclude that the data does not meet the homogeneity of variance assumption.

    Fmax = 9.33, and since the critical Fmax value is 8.89, you conclude that the data meets the homogeneity of variance assumption.

    Fmax = 9.33, and since the critical Fmax value is 4.99, you conclude that the data does not meet the homogeneity of variance assumption.

  3. Standard error for the Independent-measures t-test relies on pooled variance taken by adding the sum of squares from the two sample groups together . true or false

In: Math

A researcher would like to find out whether a man's nickname affects his cholesterol reading (though...

A researcher would like to find out whether a man's nickname affects his cholesterol reading (though it is not clear why she believes it should). She records the cholesterol readings of 10 men nicknamed Sam, 10 men nicknamed Lou and 10 men nicknamed Mac; her data appears in the table. She wants to know whether there is a difference in cholesterol levels in men with these 3 nicknames. Present all appropriate statistical test need to determine if a difference exists. Provide all your proofs. The data have been tested and are considered normally distributed.

Sam

Lou

Mac

364

260

156

245

204

438

284

221

272

172

285

345

198

308

198

239

262

137

259

196

166

188

299

236

256

316

168

263

216

269

In: Math

The following data show the annual revenue ($ millions) and the estimated team value ($ millions)...

The following data show the annual revenue ($ millions) and the estimated team value ($ millions) for the 30 Major League Baseball teams (Forbes website, January 16, 2014).

Team

Revenue ($ millions)

Value ($ millions)

Arizona Diamondbacks

195

584

Atlanta Braves

225

629

Baltimore Orioles

206

618

Boston Red Sox

336

1312

Chicago Cubs

274

1000

Chicago White Sox

216

692

Cincinnati Reds

202

546

Cleveland Indians

186

559

Colorado Rockies

199

537

Detroit Tigers

238

643

Houston Astros

196

626

Kansas City Royals

169

457

Los Angeles Angels of Anaheim

239

718

Los Angeles Dodgers

245

1615

Miami Marlins

195

520

Milwaukee Brewers

201

562

Minnesota Twins

214

578

New York Mets

232

811

New York Yankees

471

2300

Oakland Athletics

173

468

Philadelphia Phillies

279

893

Pittsburgh Pirates

178

479

San Diego Padres

189

600

San Francisco Giants

262

786

Seattle Mariners

215

644

St. Louis Cardinals

239

716

Tampa Bay Rays

167

451

Texas Rangers

239

764

Toronto Blue Jays

203

568

Washington Nationals

225

631

1. Write the regression equation.

2. Interpret the regression constant and regression coefficient.

3. Forecast a value for the dependent variable, test the significance of the regression coefficient at an alpha level of .05. Test the overall significance of the regression model, and Interpret the coefficient of determination.

5. Are there any indications of violations of the general linear model? You must address each assumption separately and explain.

In: Math

A hospital director is told that 55% of the emergency room visitors are insured. The director...

A hospital director is told that 55% of the emergency room visitors are insured. The director wants to test the claim that the percentage of insured patients is less than the expected percentage. A sample of 360 patients found that 180 were insured. At the 0.02 level, is there enough evidence to support the director's claim? Step 1 of 6: State the null and alternative hypotheses Step 2 of 6: Find the value of the test statistic. Round your answer to two decimal places. Step 3 of 6: Specify if the test is one-tailed or two-tailed. Step 4 of 6: Determine the decision rule for rejecting the null hypothesis, H0. Step 5 of 6: Make the decision to reject or fail to reject the null hypothesis. Step 6 of 6: State the conclusion of the hypothesis test.

In: Math

The following data represents a distribution of speeds at which individuals were traveling on a highway:...

The following data represents a distribution of speeds at which individuals were traveling on a highway:

64 76 65 67 67 80 79 73 65 68 64 67 68 70 65 70 72 65 62 64

A) Organize the data above into a frequency distribution with frequency (f) and relative frequency (rf)) columns.

B) Organize the data above into a class interval frequency distribution with 10 intervals and frequency (f) and relative (rf) columns.

C) Which type of figure should be used to represent these data--- a bar graph, histogram, or frequency polygon? Why? Draw the appropriate figure for these data.

D) Differentiate a qualitative variable from a quantitative variable.

E) Explain when it would be appropriate to use a bar graph versus a histogram.

In: Math

An urn contains 11 white balls and 5 black balls. A simple random sample with replacement...

An urn contains 11 white balls and 5 black balls.
A simple random sample with replacement (wr) of size: n = 2
is drawn from the urn.
Calculate the probability that the sample contains one ball of each color.

at least four decimal places.

In: Math