Hypothesis Testing

ROW 1

100

In a null hypothesis, the sign of the statement is always________.

=

200

The probability of obtaining a sample statistic as extreme as the one obtained if the null hypothesis is assumed to be true is the ______.

P-Value

300

Rejecting a true null hypothesis is called _________ error.

Type I

ROW 2

100

When the P-Value is small enough, we say that________ to reject the null hypothesis.

we have evidence

200

The null hypothesis is detonated with

Ho

300

An alternative hypothesis is detonated as_____

Ha

ROW 3

100

The alternative hypothesis is ___________ if there is interest in deviations from the null hypothesis in only one direction.

One-sided

200

The assumptions that must be checked before performing a hypothesis test are:

1.) np and n(1-p) are at least 10 2.) the sample size is less than 10% of the population.

300

A larger sample size results in a ______ power.

larger

ROW 4

100

________ gives the probability of avoiding a type II error

power

200

Always give ________ in your conclusion

Context

300

Suppose Ho: p=0.4 and the power of the test for the alternative hypothesis p=.35 is .75. Which of the following is a valid conclusion. A.) The Probability of committing a type I error is .005 B.) The probability of committing a type II error is .65 C.) If the alternative p=.35 is true, the probability of failing to reject Ho is .25

C

ROW 5

100

Hypotheses are always about the _________, never about the sample.

population

200

We never _______ a null hypothesis; we either do or do not have evidence to reject it.

Accept

300

The greater the difference between the null hypothesis claim and the true value of the population parameter.

The smaller risk for type II error and the greater the power.