Q4: Q#1 - One Sample Tests

The numerical measure that describes the certain characteristics of a population is called ________.

• sample

• statistic

• parameter

• population

Answer explanation

parameter = something that describes the population

statistic = something that describes the sample

The value that separates a rejection region from an acceptance region is called a ___________.

• parameter

• hypothesis

• critical value

• significance level

In the two-tailed test, the rejection region lies on ___________ of the normal distribution.

• center

• left tail

• right tail

• both tails

It is a value calculated from sample data which is needed in deciding the rejection of the null hypothesis.

• test statistic

• critical value

• null hypothesis

• alternative hypothesis

What term is used to describe a proposed explanation, assertion, or assumption about a population parameter or about the distribution of a random variable?

• assumption

• decision

• hypothesis

• conclusion

In a right-tailed test, if the critical value is greater than the computed value, then we _________.

• reject both the null and alternative hypotheses

• reject the alternative hypothesis

• fail to reject both the null and alternative hypotheses

• fail to reject the alternative hypothesis

Which is not needed to create the decision rule?

• level of significance

• hypothesis

• rejection region

• test statistic

Answer explanation

a. level of significance

b. test statistic to use = what table? what test?

c. rejection region = critical value, normal curve

Which value separates the critical region from the non-critical region in a normal curve?

• t-value

• z-value

• critical value

• computed value

When is a t-table usually used?

• when the sample size is less than 30

• when the population variance is unknown

• when the sample size is greater than or equal to 30

• when the population variance is known

Answer explanation

what table? = sample size

what test? = population variance

What does x with a bar and s represent?

• population mean and sample standard deviation

• sample mean and sample standard deviation

• population mean and population standard deviation

• sample mean and population standard deviation