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Matched Pairs Hypothesis Test - Excel quiz
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When should you use a pooled t test in hypothesis testing?
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When should you use a pooled t test in hypothesis testing?
A pooled t test is used when population variances are unknown but assumed to be equal.
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Matched Pairs Hypothesis Test - Excel definitions
Matched Pairs Hypothesis Test - Excel
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이 집합의 용어 (15)
하이드의 정의
When should you use a pooled t test in hypothesis testing?
A pooled t test is used when population variances are unknown but assumed to be equal.
What is the null hypothesis in a pooled t test comparing two means?
The null hypothesis states that the two population means are equal.
What does the alternative hypothesis represent in a pooled t test?
The alternative hypothesis suggests that the two population means are not equal.
Which Excel function is used to perform a pooled t test?
The t.test function in Excel is used to perform a pooled t test.
What value should you enter for the 'type' input in Excel's t.test function to perform a pooled t test?
You should enter '2' for the 'type' input to indicate a pooled t test.
How do you determine if your hypothesis test is one-tailed or two-tailed in Excel?
Check the alternative hypothesis; if it uses a not equal sign, it is a two-tailed test.
What does a two-tailed test check for in hypothesis testing?
A two-tailed test checks for any difference between the two means, not just a specific direction.
What is the significance level (alpha) commonly used in hypothesis testing?
A common significance level is 0.05.
What do you conclude if the p-value is less than alpha in a pooled t test?
If the p-value is less than alpha, you reject the null hypothesis.
What does rejecting the null hypothesis indicate in a pooled t test?
Rejecting the null hypothesis indicates there is enough evidence that the means are not equal.
What are the first two inputs for the t.test function in Excel?
The first two inputs are the data ranges for the two groups being compared.
What is the third input for the t.test function in Excel?
The third input specifies whether the test is one-tailed or two-tailed.
What does the p-value represent in hypothesis testing?
The p-value measures the probability of observing the data if the null hypothesis is true.
What is the conclusion if the p-value is 0.003 and alpha is 0.05?
Since 0.003 is less than 0.05, you reject the null hypothesis and conclude the means are not equal.
Why is the pooled t test important when comparing averages?
It is essential for comparing averages when the variances are assumed equal but unknown.