Identifying Test-Statistics

Using the following information given, which test should be used? You are working with a mean. The sample size is not greater than or equal to 30. The population is not large.

• Binomial Test

• Z-Test

• T-test

• Hypergeometric Test

When you are working with the sample size of the data, is there ever an instance where you might use a t-test?

• Yes, in the instance where the population sample is evenly distributed.

• Yes, but only when the population standard deviation is not known.

• No, when working with proportion, you will never run into an instance where you will use a t-test.

• No, a t-test is reserved only for instances where you are working with the mean.

With a level of significance equal to .05, the rejection region is:

• <-.1645 and 1.645>

• <-1.645 and 1.645>

• <1.645 and .1645>

• <-.1645 and 1.645->

What is the 5th step in Hypothesis Testing?

• Compare the computed value with the critical/tabular value, then state your conclusion

• Determine the critical value/tabular value

• Compute the value of the statistical test

• Decide the significance level

Assuming that population proportions, for example, the percentage of males and the percentage of females, are both not adequately represented in the sample, and the population is not large, which test would you use?

• Binumeral Test

• Hyperomnetic Test

• Hypergeometric Test

• T-Test