Hypothesis testing

Question 1

can be used to determine whether
a statement about the value of a population parameter
should or should not be rejected.

Answer 1

Hypothesis testing

Question 2

denoted by H0 , is a tentative
assumption about a population parameter

Answer 2

The null hypothesis,

Question 3

denoted by Ha, is the
opposite of what is stated in the null hypothesis.

Answer 3

The alternative hypothesis,

Question 4

is rejecting H0 when it is true

Answer 4

Type I error

Question 5

The probability of making a Type I error when the
null hypothesis is true as an equality is called the

Answer 5

level of significance

Question 6

Applications of hypothesis testing that only control
the Type I error are often called

Answer 6

significance tests

Question 7

is accepting H0 when it is false.

Answer 7

type 2 error

Question 8

s the probability, computed using the
test statistic, that measures the support (or lack of
support) provided by the sample for the null
hypothesis

Answer 8

p-value

Question 9

H0 if the p-value <


Answer 9

Reject

Question 10

Overwhelming evidence to conclude Ha is true

Answer 10

Less than .01

Question 11

Strong evidence to conclude Ha is true.

Answer 11

Between .01 and .05

Question 12

Weak evidence to conclude Ha is true.

Answer 12

Between .05 and .10

Question 13

Insufficient evidence to conclude Ha is true.

Answer 13

Greater than .10

Question 14

The value of the test statistic that established the
boundary of the rejection region is called the

Answer 14

critical value