Chapter 10.1

9

Right tailed, mu.

10

two tailed, mu.

11

two taild,standard deviation

12

null hypothesis

13

left tailed, mu.

14

two tailed, standard deviation

15

Ho: p = .105

H1: p > .105

Type 1 error: Determining the true proportion p is greater then .105 when it is not.

Type 1 error: Determining the true proportion p is not greater then .105 when it is.

17

Ho: mu = $281,600

H1: mu< $218,600

the mean price of an existing single family home has decreased when the mean pice has not decreased

The evidence did not lead the real eastate broker to conclude that the mean proce of an existing single family home decreased when in fact the mean price did decrease

19

H: o = 0.7 psi

H: o < 0.7 psi

the variable in the pressure required is 0.7 psi when the true variabliity is is 0.7 psi

the variablility in the pressure required is 0.7psi when the variablity is less than than 0.7psi

21

H0: mu = $47.47 H1: mu does not equal $47.47

evidence led the researcher to believe the mean monthly cell bill is different from $47.47 when in fact the mean bill is $47.47

the evidence did not lead the researchers to believe the mean monthly cell phone bill is different from $47.47 but the mean bill is different from $47.47

Chapter 10.2. You only need to do the pvalue approach.

7

np(1-9) is greater then or equal to 10.

The Pvalue = .0104

Reject the Null Hypothesis.

9

np= 37.1>10

The Pvalue = 0.2296

0.10 Reject the Null Hypothesis.

11

np= 45>10

The Pvalue = 0.1362

0.05 Reject the Null Hypothesis.

13

about 27 in 100 samples will give a sample proportion as high or higher than the one obtained if the population proportion really is 0.5. Becasue the probablility is not small we do not reject the null hypothesis. there is not enough significant evidence to conclude that the dart picking strategy resulted in a majority of winners.

15

The Pvalue = 0.2578

a= 0.01 do not reject the null hypothesis

17

The Pvalue = 0.1379

a=0.05; do not reject the null hypothesis

19

The Pvalue =0.0047

<a =0.05; reject the null hypothesis