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Hello Chegg, can you please help me with this assignment question. Please provid

ID: 2908825 • Letter: H

Question

Hello Chegg, can you please help me with this assignment question. Please provide a detailed description that explains your logical thought process. Answers without a detailed descriptions are not acceptable.

Follow the prompts. You should include this cover sheet, plus your actual solutions, answers and/or graphs The Statistics Department has an undergraduate program learning objective that focuses on correctly identifying various concepts in designs of experiments. As its benchmark assessment, students take a pre-test and a post- test that bracket the unit of study. Assistant Dean Adele Stacy sampled recent paired scores for nine (9) randomly selected undergraduates. She wondered if scores improved after the routine curricular intervention, Should Dean Adele report a statistically significant finding? Explain. She tested her claims at the 2% level of significance Student Pre-Tes?t A | B | C | D | E | F | G | Hi I 24 2 209 18 25 18 17 Post-Test 2 25 122421 66 18 17 COMMENTS & HINTS: Sounds like a matched pair, wouldn't you say? Use technology to your advantage? Perhaps there an app for this in Excel? Yes, indeed. State the hypotheses; a verbal version is satisfactory; also state the conclusions, both technical and contextual Express the p-value as you findings. Constructing a corresponding confidence interval to affirm vour conclusion can earn bonus credit, though if your testing is one tailed, do create a bogus second tail so to use two-tailed methods.] explain your

Explanation / Answer

Solution:

Here, we have to use matched paired t test for checking the significant difference between population means.

The null and alternative hypotheses for this test are given as below:

Null hypothesis: H0: There is no any significant improvement in the average score of students after the routine curricular intervention.

Alternative hypothesis: Ha: There is a significant improvement in the average score of students after the routine curricular intervention.

H0: µd = 0 vs. Ha: µd > 0

This is a one tailed test. (Upper tailed or right tailed)

We are given

Level of significance = ? = 2% = 0.02

The test statistic formula for this test is given as below:

t = Dbar / [Sd/sqrt(n)]

Calculations for Dbar and Sd are summarised in the following table:

Post test

Pre test

Di

(Di - DBar)^2

25

24

1

0.444444444

21

22

-1

7.111111111

22

20

2

0.111111111

24

19

5

11.11111111

21

18

3

1.777777778

16

12

4

5.444444444

16

15

1

0.444444444

18

18

0

2.777777778

17

17

0

2.777777778

Dbar = 1.666667

Sd = 2.0000

Sample size = n = 9

DF = n – 1 = 9 – 1 = 8

? = 0.02

Upper critical value = 2.4490

(by using t-table or excel)

Test statistic is given as below:

t = 1.666667/(2.0000/sqrt(9))

t = 1.666667/(2/3)

t = 2.500001

Test statistic = t = 2.50

P-value = 0.0185

(by using t-table or excel)

P-value < ? = 0.02

So, we reject the null hypothesis that there is no any significant improvement in the average score of students after the routine curricular intervention.

There is sufficient evidence to conclude that there is a significant improvement in the average score of students after the routine curricular intervention.

Now, we have to construct confidence interval.

We have ? = 0.02, so c = 1 - ? = 1 - 0.02 = 0.98 = 98%

We have to construct 98% confidence interval for difference.

Dbar = 1.666667

Sd = 2.0000

Sample size = n = 9

DF = n – 1 = 9 – 1 = 8

Critical t value = 2.8965

Confidence interval = Dbar ± t*Sd/sqrt(n)

Confidence interval = 1.666667 ± 2.8965*2/sqrt(9)

Confidence interval = 1.666667 ± 2.8965*2/3

Confidence interval = 1.666667 ± 2.8965* 0.666667

Confidence interval = 1.666667 ± 1.931001

Lower limit = 1.666667 - 1.931001 = -0.264334

Upper limit = 1.666667 + 1.931001 = 3.597668

Confidence interval = (-0.264334, 3.597668)

Post test

Pre test

Di

(Di - DBar)^2

25

24

1

0.444444444

21

22

-1

7.111111111

22

20

2

0.111111111

24

19

5

11.11111111

21

18

3

1.777777778

16

12

4

5.444444444

16

15

1

0.444444444

18

18

0

2.777777778

17

17

0

2.777777778

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