In: Statistics and Probability
Question #1
The paired data below consist of the temperatures on randomly
chosen days and the amount a certain kind of plant grew (in
millimeters). Test the claim that there is a linear correlation
between temperature and plant growth, with 0.01 significance level
and P-Value method.
temp | 63 | 77 | 51 | 52 | 72 | 47 | 52 | 45 | 75 |
Growth | 35 | 38 | 51 | 12 | 32 | 33 | 16 | 8 | 15 |
Question #2
A nationwide study of American homeowners revealed that 64% have
one or more lawn mowers. A lawn equipment manufacturer, located in
Omaha, claims that more than 64% of homeowners in Omaha own one or
more lawn mowers. A survey of 490 homes in Omaha yields 331 with
one or more lawn mowers. Test the claim of the manufacturer with
Critical Value method and use 0.06 significance level.
Question #3
Use P-Value method and 3% significance level, test the claim that
the true mean weight loss produced by the three exercise programs
have the same mean. Assume that the populations are normally
distributed with the same variance.
Exercise A | Exercise B | Exercise C |
5.6 | 6.8 | 9.3 |
8.1 | 4.9 | 6.2 |
4.3 | 3.1 | 5.8 |
9.1 | 7.8 | 7.1 |
7.1 | 1.2 | 7.9 |
Question #4
A coach uses a new technique to train gymnasts. 7 gymnasts were
randomly selected and their competition scores were recorded before
and after the training. The results are shown below.
Before | 9.4 | 9.0 | 9.2 | 9.4 | 9.2 | 9.3 | 9.7 |
After | 9.5 | 9.3 | 9.5 | 9.6 | 9.4 | 9.5 | 9.9 |
Using a 0.10 level of significance and Critical Value method to test the claim that the training technique is effective in raising the gymnasts' scores. (Mean difference is less than zero)
Question #5
Among the four northwestern states, Washington has 51% of the total
population, Oregon has 30%, Idaho has 11%, and Montana has 8%. A
market researcher selects a sample of 1000 subjects, with 450 in
Washington, 340 in Oregon, 150 in Idaho, and 60 in Montana. Using
P-Value method at the 0.05 significance level, test the claim that
the sample of subjects has a distribution that agrees with the
distribution of state populations.
1)
correlation coefficient calculation
What the conclusion means: There is not a significant linear relationship between x and y.
we are allowed to solve one question only.