In: Math
Ch. 11, 2. Given two dependent random samples with the following results:
|
Population 1 |
71 |
68 |
50 |
84 |
76 |
76 |
80 |
79 |
|
Population 2 |
76 |
63 |
54 |
80 |
79 |
82 |
75 |
82 |
Can it be concluded, from this data, that there is a significant difference between the two population means?
Let d= (Population 1 entry)−(Population 2 entry)d=(Population 1 entry)−(Population 2 entry). Use a significance level of α=0.2 for the test. Assume that both populations are normally distributed.
Step 1 of 5: State the null and alternative hypotheses for the test.
Ho: μd(=,≠,<,>,≤,≥) 0
Ha:μd (=,≠,<,>,≤,≥) 0
Step 2 of 5: Find the value of the standard deviation of the paired differences. Round your answer to one decimal place.
Step 3 of 5: Compute the value of the test statistic. Round your answer to three decimal places.
Step 4 of 5: Determine the decision rule for rejecting the null hypothesis H0. Round the numerical portion of your answer to three decimal places.
Reject Ho if (t, I t I) (<,>) _____
Step 5 of 5:
Make the decision for the hypothesis testTop of Form
Reject Null Hypothesis Fail to Reject Null Hypothesis
| Population 1 | 71 | 68 | 50 | 84 | 76 | 76 | 80 | 79 |
| Population 2 | 76 | 63 | 54 | 80 | 79 | 82 | 75 | 82 |
The Hypotheses are


The Paired sample Test is computed in Excel by addons shown below:
| t-Test: Paired Two Sample for Means | ||
| Population 1 | Population 2 | |
| Mean | 73 | 73.875 |
| Variance | 111.7142857 | 102.125 |
| Observations | 8 | 8 |
| Pearson Correlation | 0.897437244 | |
| Hypothesized Mean Difference | 0 | |
| df | 7 | |
| t Stat | -0.52615222 | |
| P(T<=t) one-tail | 0.307517568 | |
| t Critical one-tail | 0.896029644 | |
| P(T<=t) two-tail | 0.615035135 | |
| t Critical two-tail | 1.414923928 |
Step 2:
the standard deviation of the paired differences Calculated as 4.7
Step3:
the value of the test statistic cumputed as 0.526
Step 4:
Rejection region:
Rejcet Ho if t:∣t∣>1.415
Step5:
decision for the hypothesis test
Since it is observed that |t| = 0.526 ≤tc=1.415, it is then concluded that the null hypothesis is not rejected.