Unit 9

Question 1

What is the null and alternative hypothesis?

Answer 1

• Null: H0 (what we are trying to disprove)

- Alternative: Ha

Question 2

What is the null and alternative hypothesis?

Answer 2

• Null: H0 (what we are trying to disprove)

- Alternative: Ha

Question 3

____ hypothesis can use the symbols: =, greater than/ equal to >, less than/equal to

Answer 3

Null (H0)

Question 4

_____ hypothesis can use the symbols: does not equal, . (Does not include equal to!)

Answer 4

Alternative (Ha)

Question 5

Do an upper-tailed test when the alternative hypothesis uses: _____.

Answer 5

> (it’s pointing to the right, so do a right-tailed/upper-tailed test)

Question 6

Do a lower-tailed test when the alternative hypothesis uses: ______.

Question 7

When do you use a two-tailed test?

Answer 7

When Ha is: does not equal.

Question 8

What is a level of significance? What does it mean if the p value is greater or less than the level of significance?

Answer 8

Before a hypothesis test, we chose a level of significance that we compare to the P-value.

• If the P-value is equal or less than a, we reject H0.
• If the P-value is greater than a, then we fail to reject H0.

Question 9

____ hypothesis can use the symbols: =, greater than/ equal to >, less than/equal to

Answer 9

Null (H0)

Question 10

_____ hypothesis can use the symbols: does not equal, . (Does not include equal to!)

Answer 10

Alternative (Ha)

Question 11

Do an upper-tailed test when the alternative hypothesis uses: _____.

Answer 11

> (it’s pointing to the right, so do a right-tailed/upper-tailed test)

Question 12

Do a lower-tailed test when the alternative hypothesis uses: ______.

Question 13

When do you use a two-tailed test?

Answer 13

When Ha is: does not equal.

Question 14

What is a level of significance? What does it mean if the p value is greater or less than the level of significance?

Answer 14

Before a hypothesis test, we chose a level of significance that we compare to the P-value.

• If the P-value is equal or less than a, we reject H0.
• If the P-value is greater than a, then we fail to reject H0.

Question 15

What is the formula for calculating the test statistic?

Answer 15

z = (x bar - mean/s.d.)/ square root of n

Question 16

How do you find the level of significance/the rejection region?

Answer 16

Its on the t* table! If a=5 percent, look up 0.05 and so on. That value is what you use to reject or accept the p-value.
* If given o, you use the z. If not, then you use the t with df, which is n-1.

Question 17

What is the z test statistic formula?

Answer 17

z= (x bar - u)/o/square root of n

Question 18

What is the t test statistic formula?

Answer 18

t= (x bar - u)/s/square root of n