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Q1) A researcher wished to find out if using octane booster would increase gasoline mileage. Random sample of 7 cars was chosen; cars were driven for two weeks without booster and two weeks with booster.
Miles / Gal Without
Miles / Gal With
21.2
23.8
25.4
25.6
20.9
22.4
27.6
28.3
22.8
24.5
27.3
28.8
23.4
25.2
Mention the alternative hypothesis?
A) H1: mD ≠ 0
B) H1: mD < 0
C) H1: mD = 0
D) H1: mD ≥ 0
Q2) In testing equality of two means below, determine the test statistic? (Use the equal variances formula)
Sample 1
Sample 2
Sample size
12
8
Sample mean
115
80
Sample varia ce
700
450
A) 0.28
B) 3.12
C) 2.37
D) 0.14
What is the appropriate conclusion based on the outcome of the hypothesis test?
Construct a 95% confidence interval for the difference in the proportions of women and men who have regular exercise programs.
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Interpret the correlation between each set of variables.
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Write up your results by using scientifically recognized form.
Problems on Sampling Variability and Standard Error and Confidence Intervals
Test out an suitable hypothesis also state your conclusion. Make sure the suitable assumption as well as conditions are satisfied before you proceed.
When a sample mean is greater than the true, population mean, the resulting difference is called:
Explain the value of test statistic using t distribution for the given value. Illustrate value of the t test statistic if you are testing a hypothesis.
For a population with a mean of μ = 50 and a standard deviation of σ = 10, how much error, on average, would you expect between the sample mean (M) and population mean for:
Test the claim that for the adult population of one town, the mean annual salary is given by μ = $30,000.
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