In: Math
1. A random sample of 4040 cars owned by students had a mean age
of 7.37.3 years and a standard deviation of 3.73.7 years, while a
random sample of 2828 cars owned by faculty have a mean age of
5.85.8 years and a standard deviation of 3.53.5 years.
Use a 0.10.1 significance level to test the claim
that, on average, cars owned by students are older than cars owned
by faculty.
The test statistic is ______________
The p-value is _______________
2. Ten randomly selected people took IQ test A, and next day they took a very similar IQ test B. Their scores are shown in the table below.
Person | A | B | C | D | E | F | G | H | I | J |
Test A | 101 | 118 | 71 | 86 | 129 | 108 | 109 | 96 | 91 | 93 |
Test B | 103 | 115 | 69 | 85 | 130 | 109 | 112 | 97 | 89 | 92 |
Calculate (Test B - Test A) to find the differences. Use a 0.010.01
significance level to test the claim that people do better on the
second test than they do on the first.
(b) The test statistic is ___________
(c) The p-value is _______________
3. 2.38866e-05
Jaylon thinks that there is a difference in quality of life between
rural and urban living. He collects information from obituaries in
newspapers from urban and rural towns in Kansas to see if there is
a difference in life expectancy. A sample of 20 people from rural
towns give a life expectancy of xr¯=80.9xr¯=80.9
years with a standard deviation of sr=6.5sr=6.5
years. A sample of 30 people from larger towns give
xu¯=72.4xu¯=72.4 years and
su=5.3su=5.3 years. Does this provide evidence
that people living in rural Kansas communities have, on average,
different life expectancy than those in more urban communities? Use
a 5 % level of significance. Let uu represent urban and
rr represent rural.
(b) The test statistic is ________________
(c) The p-value is ___________________