7. Suppose we want to know whether or not the mean weight between two different species of rat is equal. To test this, will perform a two-sample t-test at significance level a = 0.05 using the following steps: Sample 1: • Sample size n1 = 56 Sample mean weight x1 = 210 • Sample standard deviation s1 = 19.5 • Sample size n2 = 50 • Sample mean weight x2 = 205 • Sample standard deviation s2 = 18.7 Step 1: State the hypotheses. Step 2: The level of significance, one/two-tailed test, degrees of freedom Step 3: Statistical Test Step 4: Computation Step 5: Decision Rule Step 6: Reject Ho or Failed to Reject Ho Step 7: Conclusion Sample 2:

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7. Suppose we want to know whether or not the mean weight between two different species of rat is
equal. To test this, will perform a two-sample t-test at significance level a = 0.05 using the
following steps:
Sample 1:
• Sample size n1 = 56
• Sample mean weight x1 = 210
• Sample standard deviation s1 = 19.5
• Sample size n2 = 50
•
Sample mean weight x2 = 205
• Sample standard deviation s2 = 18.7
Step 1: State the hypotheses.
Step 2: The level of significance, one/two-tailed test, degrees of freedom
Step 3: Statistical Test
Step 4: Computation
Step 5: Decision Rule
Step 6: Reject Ho or Failed to Reject Ho
Step 7: Conclusion
Sample 2:
Transcribed Image Text:7. Suppose we want to know whether or not the mean weight between two different species of rat is equal. To test this, will perform a two-sample t-test at significance level a = 0.05 using the following steps: Sample 1: • Sample size n1 = 56 • Sample mean weight x1 = 210 • Sample standard deviation s1 = 19.5 • Sample size n2 = 50 • Sample mean weight x2 = 205 • Sample standard deviation s2 = 18.7 Step 1: State the hypotheses. Step 2: The level of significance, one/two-tailed test, degrees of freedom Step 3: Statistical Test Step 4: Computation Step 5: Decision Rule Step 6: Reject Ho or Failed to Reject Ho Step 7: Conclusion Sample 2:
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