Chapter 10

Question 1

8 step procedure for hypothesis test for large samples

Answer 1

1. ) state population characteristics of interest
2. ) state null hypothesis (Ho - original)
3. ) state alt hypothesis (Ha - what you test, greater/less/equal)
4. ) state significance level (a, usually .05 if you don’t know it)
5. ) name the test and state requirements needed for test
6. ) state test statistic and compute value
7. ) determine p value (reject Ho if p value is less than or equal to a; fail to reject Ho if p value is greater than a)
8. ) state conclusion in context - if fail to reject Ho, talk about results in terms of Ha

Question 2

null hypothesis

Answer 2

claim about population that is initially assumed to be true

Question 3

alternative hypothesis

Answer 3

the competing claim (against null hypothesis)

Question 4

type 1 error

Answer 4

reject Ho when Ho is true (a)

Question 5

type 2 error

Answer 5

fail to reject Ho when Ho is false (B)

Question 6

power of hypothesis test

Answer 6

rejecting false null hypothesis (1-B)

Question 7

controlling type 1 and type 2 errors

Answer 7

1. ) for any fixed a, an increase in sample size “n” will cause a decrease in B. the larger the n, the higher the power.
2. ) for any fixed n, an increase in “a” will increase B. The smaller the significance, the lower the power.
3. ) to decrease both a and B, increase the sample size

Question 8

raise power of hypothesis test

Answer 8

1. ) increase sample size n
2. ) decrease variation
3. ) move alternative hypothesis farther from Ho
4. ) increase alpha (a= prob of type 1 error)
   * as you increase power, you decrease B (prob of type 2 error) and increase a (prob of type 1)