-2 #28

Original Claim: Women have heights with a standard deviation equal to 5

.00cm

. The hypothesis test results in a P-value of 0

.0055

. Assume a significance level of a=0

.05 and use the given information for the following

.A

. State a conclusion about the null hypothesis

. (Reject Ho or fail to reject Ho)

B

. Without using technical terms, state a final conclusion that addresses the original claim

.8-3#6

In a Gallup poll of 1003 randomly selected subjects, 373 said that they have guns in their homes

. The accompanying Minitab display shows results from a test of the claim that 35% of homes have guns in them

. Assume a 0

.05 significance level and answer the following

A

. Is the test two tailed, left tailed, or right tailed,

B

. What is the test statics

C

. What is the null hypothesis and what so you conclude

D

. what is the final conclusion

E

. What is the P-value

(note: in the box is the following information…

Test of P=0

.35 vs p not=0

.35

Variable X N Sample P 95% CI z-value p-value

Guns(NNN) NNN-NNNN0

.371884 (0

.341974, 0

.401795) 1

.45 0

.146

8-4 #20

Listed below are the ages (years) of randomly selected race car drivers (based on data reported in USA today) Use a 0

.05 significant level to test the claim that the mean age of all race car drivers is greater than 30 years

.32 32 33 33 41 29 38 32 33 23 27 45 52 29 25

9-3#20

Listed below are amounts of strontium-90 (in milibecquerels, or mBq,per gram of calcum) in a simple random sample of baby teeth obtained from Pennsylvania residents and New York residents born after 1979 (based on data from “An Unexpected Rise of Strontium 90 in U

.S

. Deciduous Teeth in the 1990’s” by Mangano, et al

., Science of the Total Environment, Vol 317)

. Use a 0

.05 significance level to test the claim that the mean amount of strontium-90 from Pennsylvania residents is greater than the mean amount from New York residents

Pennsylvania = 155 142 149 130 151 163 151 142 156 133 138 161

New York = 133 140 142 131 134 129 128 140 140 140 137 143

10-2#16

Listed below are altitudes (thousands of feet) and outside air temperatures(degrees Fahrenheit) recorded by the author during Delta Flight 1053 from New Orleans to Atlanta

. Is there sufficient evidence to conclude that there is a linear correlation between altitude and outside air temperature? Do the results change if the altitudes are reported in meters and the temperatures are converted to the Celsius scale? Find the P-value or the critical value of r using a= 0

.05

Altitude = 3 10 14 22 28 31 33

Temperature = 57 37 24 -5 -30 -41 -54

10-3 #16

At 6327 ft (or 6

.327 thousand feet)the author recorded the temperature

. Find the best predicted temperature at that altitude

. How does the result compare to the actual recorded value of 48 degrees Fahrenheit

. (Find the regression equation, letting the first variable be the predictor (x) variable

. Find the indicated predicted value by following the prediction procedure summarized in the strategy for predicting values of Y

.Altitude = 3 10 14 22 28 31 33

Temperature = 57 37 24 -5 -30 -41 -54