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1. The sampling distribution of the ratio of two independent sample variances taken from normal populations with equal variances is:
A. an F distribution
B. a chi-square distribution
C. a t distribution
D. a normal distribution
2. A sample of n observations is taken from a population. When performing statistical inference about a population variance, the appropriate chi-square distribution has:
A. n degrees of freedom
B. n - 1 degrees of freedom
C. n - 2 degrees of freedom
D. n - 3 degrees of freedom
Results were analyzed using one -way ANOVA and included SSTR =7 , 102 and SSE = 10 ,511. Are all 8 tapes equally appealing on average? Determine p value?
What is the minimum sample size needed in order for you to be 95% confident that your estimate is within 5 of µ? Use the value 20 for the population standard deviation of scores on this subsection.
What is the probability that the team wins tonight and that there will be a large crowd at tomorrow's game?
Calculate descriptive statistics for each stock and the S&P 500. Comment on your results. Which stocks are the most volatile? Calculate the value of beta for each stock.
If we fit the least-squares line to the 12 data points (one for each month) we obtain the following results from a software package. Notice that temperature is taken as the explanatory variable and crawling age as the response.
Reading highway signs is not always easy, especially if your vision is imperfect. Vision in general tends to deteriorate with age. Two researchers conducted a study to determine if the distance at which a standard highway sign could be recognized ..
State the null and alternative hypotheses you would use to test whether the year-end bonuses paid by Jones & Ryan were different from the population mean.
By constructing null and alternative hypotheses, computing critical values, and comparing test statistic to critical value.
Suppose we wish to test the null hypothesis that there are no differences among the proportion of men and women who developed a rash. Evaluate the P-value of the chi-square test of this hypothesis.
Is there evidence of violations of the usual ANOVA assumptions of equal variances and normal populations? Set up and perform appropriate TESTS at the α = 0.05 level of significance.
At the 5 percent level of significance, can we conclude that the mean weight is greater than 16 ounces? Determine the p- value.
He randomly samples 45 oil wells throughout the United States and determines the mean output to be 10.7 barrels per day with a standard deviation of 1.3 barrels. Test the researcher's claim at the .025 level of significance.
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