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9 - Assume you own a cooking school. You are measuring the effect that a month of daily food preparation training has on the number

9 -

Assume you own a cooking school. You are measuring the effect that a month of daily food preparation training has on the number of minutes required to prepare a gourmet meal. You measure four (4) chefs on time to cook a gourmet meal before training and then after training. You predict that training willchangethe time required to cook a meal.

Is this a repeated measures design, a paired samples design, ot a matched pairs design?

10 -

Assume you own a cooking school. You are measuring the effect that a month of daily food preparation training has on the number of minutes required to prepare a gourmet meal. You measure four (4) chefs on time to cook a gourmet meal before training and then after training. You predict that training willchangethe time required to cook a meal.

State the hypotheses for this hypothesis test.

11 -

Assume you own a cooking school. You are measuring the effect that a month of daily food preparation training has on the number of minutes required to prepare a gourmet meal. You measure four (4) chefs on time to cook a gourmet meal before training and then after training. You predict that training willchangethe time required to cook a meal.

State the decisions rule. Include both the critical value and draw a picture of the distribution demonstrating the critical region. Use= 0.01

12 -

Assume you own a cooking school. You are measuring the effect that a month of daily food preparation training has on the number of minutes required to prepare a gourmet meal. You measure four (4) chefs on time to cook a gourmet meal before training and then after training. You predict that training willchangethe time required to cook a meal.

The data of number of minutes it takes to prepare a gourmet meal before and after training is listed below.Complete the rest of the table.

Trainee After treatment Before treatment Difference scores (D) D-MD (D-MD)2
A 58 33
B 61 38
C 48 29
D 53 36
-- -- -- MD = -- SSD

13 -

Assume you own a cooking school. You are measuring the effect that a month of daily food preparation training has on the number of minutes required to prepare a gourmet meal. You measure four (4) chefs on time to cook a gourmet meal before training and then after training. You predict that training willchangethe time required to cook a meal.

Calculate the test statistic for these data. Make sure to show your work forallsteps and all calculations.

14 -

Assume you own a cooking school. You are measuring the effect that a month of daily food preparation training has on the number of minutes required to prepare a gourmet meal. You measure four (4) chefs on time to cook a gourmet meal before training and then after training. You predict that training willchangethe time required to cook a meal.

State your statistical decision (Reject of fail to reject).

15 -

Assume you own a cooking school. You are measuring the effect that a month of daily food preparation training has on the number of minutes required to prepare a gourmet meal. You measure four (4) chefs on time to cook a gourmet meal before training and then after training. You predict that training willchangethe time required to cook a meal.

Compute the proper effect size for this test. Is it a small, medium, or large effect?

16 -

Assume you own a cooking school. You are measuring the effect that a month of daily food preparation training has on the number of minutes required to prepare a gourmet meal. You measure four (4) chefs on time to cook a gourmet meal before training and then after training. You predict that training willchangethe time required to cook a meal.

Interpret the outcome of the statistical test in terms of amount of tiem it takes to prepare the gourmet meal. Include effect size.

17 -

Assume that a novel fundraising approach is being tried for a local charity. On average, individuals have given $60 per year to the charity. The novel fundraising approach is tried on a sample of 30 individuals. After the new fundraising approach is tried, the average donation among the 30 people is $50, with a standard deviation of $30. Determine whether the novel fundraising methodincreasedthe average number of dollars donated. Use= 0.01.

State what type of t-test is appropriate for these data (single sample, independent sample, dependent sample).

18 -

Assume that a novel fundraising approach is being tried for a local charity. On average, individuals have given $60 per year to the charity. The novel fundraising approach is tried on a sample of 30 individuals. After the new fundraising approach is tried, the average donation among the 30 people is $50, with a standard deviation of $30. Determine whether the novel fundraising methodincreasedthe average number of dollars donated. Use = 0.01.

State the hypotheses.

19 -

Assume that a novel fundraising approach is being tried for a local charity. On average, individuals have given $60 per year to the charity. The novel fundraising approach is tried on a sample of 30 individuals. After the new fundraising approach is tried, the average donation among the 30 people is $50, with a standard deviation of $30. Determine whether the novel fundraising methodincreasedthe average number of dollars donated. Use= 0.01.

Create the decision rule. Include both the diagram/ picture and the critical region.

20 -

Assume that a novel fundraising approach is being tried for a local charity. On average, individuals have given $60 per year to the charity. The novel fundraising approach is tried on a sample of 30 individuals. After the new fundraising approach is tried, the average donation among the 30 people is $50, with a standard deviation of $30. Determine whether the novel fundraising methodincreasedthe average number of dollars donated. Use= 0.01.

Calculate the test statistic for these data.

21 -

Assume that a novel fundraising approach is being tried for a local charity. On average, individuals have given $60 per year to the charity. The novel fundraising approach is tried on a sample of 30 individuals. After the new fundraising approach is tried, the average donation among the 30 people is $50, with a standard deviation of $30. Determine whether the novel fundraising methodincreasedthe average number of dollars donated. Use= 0.01.

State your statistical decision (reject or fail to reject).

22 -

Assume that a novel fundraising approach is being tried for a local charity. On average, individuals have given $60 per year to the charity. The novel fundraising approach is tried on a sample of 30 individuals. After the new fundraising approach is tried, the average donation among the 30 people is $50, with a standard deviation of $30. Determine whether the novel fundraising methodincreasedthe average number of dollars donated. Use = 0.01.

23 -

Assume that you work in a fitness center and that you are in charge of weight loss programs. You have two weight loss programs you are testing to see which one leads to more weight loss. Program 1, the experimental program, involves intensive exercise plus nutrition counseling. Program 2, the control program, involves only intensive exercise. Assume that you randomly assign people to one of the two programs. After two months in the programs, you measure the number of pounds lost. Test whether the two groupsdifferin number of pounds lost. Use= 0.05.

Experimental group Control group
11 8
9 9
10 5
6 6
9
ME= 9.0 MC= 7.0
SSE= 14 SSC = 10
s2E= 3.5 s2C= 3.33
nE= 5 nC= 4

State what type of t-test is appropriate for these data (single sample, independent sample, dependent sample).

24 -

Assume that you work in a fitness center and that you are in charge of weight loss programs. You have two weight loss programs you are testing to see which one leads to more weight loss. Program 1, the experimental program, involves intensive exercise plus nutrition counseling. Program 2, the control program, involves only intensive exercise. Assume that you randomly assign people to one of the two programs. After two months in the programs, you measure the number of pounds lost. Test whether the two groupsdifferin number of pounds lost. Use= 0.05.

Experimental group Control group
11 8
9 9
10 5
6 6
9
ME= 9.0 MC= 7.0
SSE= 14 SSC = 10
s2E= 3.5 s2C= 3.33
nE= 5 nC= 4

State the hypotheses.

25 -

Assume that you work in a fitness center and that you are in charge of weight loss programs. You have two weight loss programs you are testing to see which one leads to more weight loss. Program 1, the experimental program, involves intensive exercise plus nutrition counseling. Program 2, the control program, involves only intensive exercise. Assume that you randomly assign people to one of the two programs. After two months in the programs, you measure the number of pounds lost. Test whether the two groupsdifferin number of pounds lost. Use= 0.05.

Experimental group Control group
11 8
9 9
10 5
6 6
9
ME= 9.0 MC= 7.0
SSE= 14 SSC = 10
s2E= 3.5 s2C= 3.33
nE= 5 nC= 4

State the decision rule. Include both the critical value and draw a picture of the distribution demonstrating the critical region.

26 -

Assume that you work in a fitness center and that you are in charge of weight loss programs. You have two weight loss programs you are testing to see which one leads to more weight loss. Program 1, the experimental program, involves intensive exercise plus nutrition counseling. Program 2, the control program, involves only intensive exercise. Assume that you randomly assign people to one of the two programs. After two months in the programs, you measure the number of pounds lost. Test whether the two groupsdifferin number of pounds lost. Use = 0.05.

Experimental group Control group
11 8
9 9
10 5
6 6
9
ME= 9.0 MC= 7.0
SSE= 14 SSC = 10
s2E= 3.5 s2C= 3.33
nE= 5 nC= 4

Calculate the test statistic for these data. Make sure to show your work forallsteps and all calculations.

27 -

Assume that you work in a fitness center and that you are in charge of weight loss programs. You have two weight loss programs you are testing to see which one leads to more weight loss. Program 1, the experimental program, involves intensive exercise plus nutrition counseling. Program 2, the control program, involves only intensive exercise. Assume that you randomly assign people to one of the two programs. After two months in the programs, you measure the number of pounds lost. Test whether the two groupsdifferin number of pounds lost. Use= 0.05.

Experimental group Control group
11 8
9 9
10 5
6 6
9
ME= 9.0 MC= 7.0
SSE= 14 SSC = 10
s2E= 3.5 s2C= 3.33
nE= 5 nC= 4

State your statistical decision (reject or fail to reject).

28 -

Assume that you work in a fitness center and that you are in charge of weight loss programs. You have two weight loss programs you are testing to see which one leads to more weight loss. Program 1, the experimental program, involves intensive exercise plus nutrition counseling. Program 2, the control program, involves only intensive exercise. Assume that you randomly assign people to one of the two programs. After two months in the programs, you measure the number of pounds lost. Test whether the two groupsdifferin number of pounds lost. Use= 0.05.

Experimental group Control group
11 8
9 9
10 5
6 6
9
ME= 9.0 MC= 7.0
SSE= 14 SSC = 10
s2E= 3.5 s2C= 3.33
nE= 5 nC= 4

Compute the proper effect size for this test. Is it a small, medium, or large effect?

29 -

Assume that you work in a fitness center and that you are in charge of weight loss programs. You have two weight loss programs you are testing to see which one leads to more weight loss. Program 1, the experimental program, involves intensive exercise plus nutrition counseling. Program 2, the control program, involves only intensive exercise. Assume that you randomly assign people to one of the two programs. After two months in the programs, you measure the number of pounds lost. Test whether the two groupsdifferin number of pounds lost. Use= 0.05.

Experimental group Control group
11 8
9 9
10 5
6 6
9
ME= 9.0 MC= 7.0
SSE= 14 SSC = 10
s2E= 3.5 s2C= 3.33
nE= 5 nC= 4

Interpret the outcome of the statistical test in terms of significance and how the experimental or control groups differed on weight loss. Include effect size.

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