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1. Select the best statistical analysis technique for the following. Be very precise about your statistical choice. Please specify exactly which statistical analysis technique would be used, e.g. One-Way ANOVA and the level of measurement for the variable.
You wish to test the null hypothesis that age (defined as young = 20 to 30 years old, and middle age = 31 to 50) makes no difference in purchasing one of four makes of cars (DV = Honda, Toyota, Lexus, Chevy). Which statistical test would you conduct and why? 2. In comparing the effectiveness of three methods of training (IV) in how to handle interviews with the press, you plan to administer a test (DV measured on an interval scale) to the participants in three different seminars with each seminar using a different training method.
State the research hypothesis being tested.
Which sampling method would yield the best representative sample? Write a paragraph with the rationale for the selecting the sampling design.
Name the inferential statistical test that would be used for the method of training and why?
For a sample of 138 independent observations from a normal distribution of unknown μ and variance σ 2 = 2.6, the sample mean is 52.3. What is the width of the 95% confidence interval for μ?
Find the probability that in a given month:
At the .05 significance level, can we conclude that the guideline is still reasonable?
A large tank of fish from a hatchery is being delivered to a lake. The hatchery claims that the mean length of fish in the tank is 15 inches, and the standard deviation is 2 inches. A random sample of 36 fish is taken from the tank.
Computation of Expectation, Variance and Covariance.Calculate the variances of Y1 and Y2.
Assuming the sample size of 40 can be considered as large, compute the confidence interval for a confidence level of 90%.
The board of directors of Saner Automatic Door Company consists of 12 members, 3 of whom are women.
Does the data prove a significant difference in mean times?
The mean, median, and mode are the most common measures of dispersion (spread).
Use MegaStat's output for simple linear regression to determine the regression equation
Formulate the null and alternative hypotheses for this application.
Following data from an x bar chart, is the process capable (capability index>1.33)?
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