For a one-tailed hypothesis test (upper tail) the p-value is computed to be 0.034. If the test is being conducted at 95% confidence, the null hypothesisQuestion 7Select one:a.could be rejected or not rejected depending on the sample sizeb.is rejectedc.could be rejected or not rejected depending on the value of the mean of the sampled.is not rejected
Question
For a one-tailed hypothesis test (upper tail) the p-value is computed to be 0.034. If the test is being conducted at 95% confidence, the null hypothesisQuestion 7Select one:a.could be rejected or not rejected depending on the sample sizeb.is rejectedc.could be rejected or not rejected depending on the value of the mean of the sampled.is not rejected
Solution
b. is rejected
Here's why:
A one-tailed hypothesis test (upper tail) is testing whether a parameter is greater than a certain value. The p-value is the probability of obtaining a result as extreme as, or more extreme than, the observed data, assuming the null hypothesis is true.
In this case, the p-value is 0.034. This means there is a 3.4% chance of obtaining a result as extreme as the observed data if the null hypothesis is true.
The test is being conducted at 95% confidence. This means the significance level (alpha) is 0.05 (100% - 95% = 5%).
If the p-value is less than or equal to the significance level, we reject the null hypothesis. In this case, 0.034
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