Problems 1 - 4 share the same summaries presented in the table below. Two groups of students, graduates and undergraduates, were subject to comparative studies. Their individual grades are assumed to be normal with unknown parameters. Respondents were selected independently and their sample summaries are presented in the table below. Group S2 = s² /n Size Mean Variance Graduate n1 = 10| (X)ı = 85.1 (S²)1 vi = 8 = 4 = 40 %3D %3D Undergraduate n2 = 10 (X)2 = 70.9 (S²)2 = 600 600 10 60 V2 For all hypothesis testing problems, you are supposed to show your conclusions in the standardized form as follows. 1. Test statistic value 2. Critical values required 3. State rejection rule explaining what you decide 4. The decision such as "yes, reject the null" or "not enough evidence for rejection"

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Problems 1 - 4 share the same summaries presented in the table below. Two groups of students,
graduates and undergraduates, were subject to comparative studies. Their individual grades are assumed
to be normal with unknown parameters.
Respondents were selected independently and their sample summaries are presented in the table below.
Group
Size
Mean = X
Variance = S?
V =
Graduate
ni = 10 | (X)1= 85.1
(S2)1 = 40
vị =
4
600
Undergraduate n2 = 10 (X)2 = 70.9
(S²)2 = 600
V2 =
10
= 60
For all hypothesis testing problems, you are supposed to show your conclusions in the standardized form
as follows.
1. Test statistic value
2. Critical values required
3. State rejection rule explaining what you decide
4. The decision such as "yes, reject the null" or "not enough evidence for rejection"
Deriving confidence intervals, please show critical values needed and present your interval in the form
UCL =
LCL =
Transcribed Image Text:Problems 1 - 4 share the same summaries presented in the table below. Two groups of students, graduates and undergraduates, were subject to comparative studies. Their individual grades are assumed to be normal with unknown parameters. Respondents were selected independently and their sample summaries are presented in the table below. Group Size Mean = X Variance = S? V = Graduate ni = 10 | (X)1= 85.1 (S2)1 = 40 vị = 4 600 Undergraduate n2 = 10 (X)2 = 70.9 (S²)2 = 600 V2 = 10 = 60 For all hypothesis testing problems, you are supposed to show your conclusions in the standardized form as follows. 1. Test statistic value 2. Critical values required 3. State rejection rule explaining what you decide 4. The decision such as "yes, reject the null" or "not enough evidence for rejection" Deriving confidence intervals, please show critical values needed and present your interval in the form UCL = LCL =
Continue with the same summaries and assumption as in Problem 3.
Faculty assumed that two populations have ENTIRELY UNKNOWN VARIANCES, (01)² and (02)².
Samples of size nį = n2 = n = 10 were collected and summarized, with summaries presented in the table
shown on page 2.
Estimate the difference, u = µ1 – µ2 between two population means with confidence C = 0.95.
1. Show critical value (or values) needed for this procedure
2. Evaluate upper and lower confidence limits for the targeted parameter, µ1 – 2.
Transcribed Image Text:Continue with the same summaries and assumption as in Problem 3. Faculty assumed that two populations have ENTIRELY UNKNOWN VARIANCES, (01)² and (02)². Samples of size nį = n2 = n = 10 were collected and summarized, with summaries presented in the table shown on page 2. Estimate the difference, u = µ1 – µ2 between two population means with confidence C = 0.95. 1. Show critical value (or values) needed for this procedure 2. Evaluate upper and lower confidence limits for the targeted parameter, µ1 – 2.
Expert Solution
Step 1

Hey, since there are multiple subparts posted, we will answer first three question. If you want any specific question to be answered then please submit that question only or specify the question number in your message.

1.

The test statistic is 1.775, which is obtained below:

t=x¯1-x¯2s12n1+s22n2=85.1-70.94+60=1.775

2.

The degrees of freedom is,

df=smaller of n1-1n2-1=10-1=9

The critical-value is obtained by using Excel function “=TINV(probability, degrees of freedom)”.

Output obtained from Excel is given below:

Statistics homework question answer, step 1, image 1

From the output, the critical value for two tailed test with 0.05 level is 2.262.

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