Suppose that a sample has been drawn from a normal population to conduct the hypothesis test

Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up rejecting the null hypothesis in error.   True False

What is the critical value for an upper‐tailed hypothesis test of the population mean when the population variance is unknown in which a null hypothesis is tested at the 0.10 level of significance based on a sample size of 19?     1.645     1.328     1.734     1.740

Find the probability that two or more of 20 independent 95% confidence intervals does NOT contain the unknown parameter.

In a survey of 700 randomly selected union members, it is found that 332 favor the republican candidate for governor. Use this to contrust the 95% confidence interval for the true population proportion of all union members who favor the republician candidate.

Find the p-value for a left-tailed hypothesis test with a test statistic of z= -1.25

Write out the null and alternative hypotheses (making sure that your notation is understandable) and the distribution of the test statistic (but not the test statistic itself) used to address these questions.

A dowser has correctly located water for a well 1 out of 2 times in Jones County. In Jones County, someone who is just guessing has a 40% chance of locating water for a well. Does this sample provide sufficient evidence that the dowser can locate water and is not just guessing?

For a one-tailed (upper tail) hypothesis test with a sample size of 26 and a .01 level of significance, the critical value of the test statistic t is

In 2018, a study was conducted that stated 22.6% of residents in Kern County live below the poverty line. Suppose you were hired to determine if that percentage has changed since the study was conducted. You randomly sample 200 residents from Kern County and find that 35 of them fall below the poverty line. Carry out the appropriate hypothesis test at the a = 0.05 level of significance to determine if the true proportion of Kern County residents that live below the poverty line is lower than what it was in 2018.