how to interpret confidence intervals and how NOT to interpret them. What are the assumptions to...

how to interpret confidence intervals and how NOT to interpret them.

What are the assumptions to justify the use of hypothesis testing?

If the null hypothesis is rejected, what can we conclude? If we know that 60% of ASU students like the parking and 50% of the community as a whole likes the parking, and the difference between the sample and population are tested, with the null rejected, what do we conclude? Is the difference significant? Not significant? Are ASU students significantly more likely or less likely to like the parking? Are they equally likely?

In order to reject the null when using a t distribution with small samples, what is needed? Consider size of the test statistic. Why?

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Expert Solution

Solution : Here the concept of hypothesis testing and confidence interval is used.

milcah answered 10 months ago

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