B-STATS

If a hypothesis test is conducted for a population mean, a null and alternative hypothesis of the form: Ho: mu=100 Ha: mu=/=100 Will result in a one tailed hypothesis test since the sample result can fall in only one tail

False

When using the t-distribution in a hypotheses test, the population does not need to be assumed normally distributed

False

In hypothesis testing, the null hypothesis should contain the equality sign

True

A conclusion to "not reject' the null hypotheses is the same as the decision to 'accept the null hypothesis'

False

The following is an appropriate statement of the null and alternative hypotheses for a test of a population mean Ho: mu<50 Ha: mu>50

False

In testing a hypotheses, statements for the null and alternative hypotheses as well as the selection of the level of significance should precede the collection and examination of the data

True

When the decision maker has control over the null and alternative hypotheses, the alternative hypotheses should be the 'research' hypothesis

True

Whenever possible, in establishing the null and alternative hypotheses, the research hypothesis should be made the alternative hypothesis

True

A one-tail hypothesis for a population mean with a significance level equal to .05 will have a critical value equal to z=.45

False

Hypothesis testing and confidence interval estimation are essential two totally different statistical procedures and share little in common with each other

False

If the sample data lead the decision maker to reject the null hypotheses, the alpha level is the maximum probality of commuting a type II error

Flase

A sample is used to obtain a 95% confidence interval for the mean of a population. The confidence interval goes from 15-19. If the sample has been used to test the null hypotheses that the mean of the population is equal to 20 versus the alternative hypotheses that the mean of the population differed from 20, the null hypotheses could be rejected at a level of significance of 0.05.

True

The null and alternate hypotheses must be opposites of each other

True