A luxury hotel in Hong Kong considers using a digital education module for training a large number of new employees in basic service skills. In order to evaluate the effectiveness of the digital education module, the training manager tests a random sample of 30 trainees before the training starts. The same trainees are evaluated with a final test after completing the digital education module. Both tests are graded on a 50-point scale (where 50 points is the maximum score). The data in your Excel worksheet (available in the "Data Section 3" tab) represent the test scores obtained by the 30 randomly sampled trainees before and after the training. Each line represents a "matched pair", i.e. one and the same trainee who has been tested before and after the training. The training manager would like to demonstrate that the use of the digital module is effective, i.e. she would like to show that trainees achieve higher scores after the training than before. She asks you to conduct an appropriate test. Considereing what the training manager would like to demonstrate, what would be the correct set of null and alternative hypotheses in this case? (Assume that D stands for the difference and D is defined as Score after - Score before) Oa. Ho: D = 0; H₂: D# 0 Ob. Ho: D>= 0; H₂:D <0 Ho: D <= 0; Ha: D > 0 Od. Ho: D>= 0; H₂: D > 0 OC Please enter the critical t-value of your test here. Round to 2 digits after the decimal point. Example: A result of 2.6849 should be entered as 2.68. Answer:

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answer all questions also see excel data

2. Please enter the computed t-value and p-value from your test

3. what statistical conclusion can you draw from this result?(apply the conventional alpha leve of 0.05 for your analysis

4. what can you tell the training manager in everyday language about the eefectiveness of the digital education module

Employee ID
1
23
2
4
5
6
7
8
9
10
11
12
13
345
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
Before
46
25
1
तंतm N
24
35
69
21
19
6
35
12
524O
24
50
3 N
CL3 OSN64
36
21
13
30
25
12
26
14
NF
25
44
11
34
50
50
27
44
41
31
27
After
38
50
26
35
30
48
18
2²2
21
26
47
44
50
43
10
50
45
16
22
50
47
31
32
23
42
37
12
20
50
53
40
44
CASE
Transcribed Image Text:Employee ID 1 23 2 4 5 6 7 8 9 10 11 12 13 345 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Before 46 25 1 तंतm N 24 35 69 21 19 6 35 12 524O 24 50 3 N CL3 OSN64 36 21 13 30 25 12 26 14 NF 25 44 11 34 50 50 27 44 41 31 27 After 38 50 26 35 30 48 18 2²2 21 26 47 44 50 43 10 50 45 16 22 50 47 31 32 23 42 37 12 20 50 53 40 44 CASE
A luxury hotel in Hong Kong considers using a digital education module for
training a large number of new employees in basic service skills. In order to
evaluate the effectiveness of the digital education module, the training
manager tests a random sample of 30 trainees before the training starts. The
same trainees are evaluated with a final test after completing the digital
education module. Both tests are graded on a 50-point scale (where 50 points
is the maximum score).
The data in your Excel worksheet (available in the "Data Section 3" tab)
represent the test scores obtained by the 30 randomly sampled trainees before
and after the training. Each line represents a "matched pair", i.e. one and the
same trainee who has been tested before and after the training.
The training manager would like to demonstrate that the use of the digital
module is effective, i.e. she would like to show that trainees achieve higher
scores after the training than before. She asks you to conduct an appropriate
test.
Considereing what the training manager would like to demonstrate, what would be the
correct set of null and alternative hypotheses in this case?
(Assume that D stands for the difference and D is defined as Scoreafter - Score before)
Ho: D = 0; H₂: D # 0
O b. Ho: D>= 0; H₂D <0
Oc. Ho: D <= 0; H₂: D > 0
O d. Ho: D>= 0; H₂: D > 0
a.
Please enter the critical t-value of your test here.
Round to 2 digits after the decimal point.
Example: A result of 2.6849 should be entered as 2.68.
Answer:
Transcribed Image Text:A luxury hotel in Hong Kong considers using a digital education module for training a large number of new employees in basic service skills. In order to evaluate the effectiveness of the digital education module, the training manager tests a random sample of 30 trainees before the training starts. The same trainees are evaluated with a final test after completing the digital education module. Both tests are graded on a 50-point scale (where 50 points is the maximum score). The data in your Excel worksheet (available in the "Data Section 3" tab) represent the test scores obtained by the 30 randomly sampled trainees before and after the training. Each line represents a "matched pair", i.e. one and the same trainee who has been tested before and after the training. The training manager would like to demonstrate that the use of the digital module is effective, i.e. she would like to show that trainees achieve higher scores after the training than before. She asks you to conduct an appropriate test. Considereing what the training manager would like to demonstrate, what would be the correct set of null and alternative hypotheses in this case? (Assume that D stands for the difference and D is defined as Scoreafter - Score before) Ho: D = 0; H₂: D # 0 O b. Ho: D>= 0; H₂D <0 Oc. Ho: D <= 0; H₂: D > 0 O d. Ho: D>= 0; H₂: D > 0 a. Please enter the critical t-value of your test here. Round to 2 digits after the decimal point. Example: A result of 2.6849 should be entered as 2.68. Answer:
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