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Explain the difference between testing a single mean and testing the difference between two means.
What two assumptions must be met when one is using z test to test differences between two means?
The sample mean of the accounts is found to be y-bar = $94.22, and the sample variance is equal to $455.21. Estimate mu and place a bound on the error of estimation.
Formulate an appropriate statistical model, defi ning all the terms. State the null and two-sided alternative hypotheses which reflect the research question of interest.
In other words, could you generate two sets of random numbers (of length, say, 50) and set out the calculations in detail to determine whether the random variables are independent using chi-squared.
Suppose we want to compare the observed and expected number of events among the group 250 treatments.
Students in a statistics class at a large state university were given the survey in which one question asked was age (in years); one student was a retired person, and her age was an "outlier".
The mean age of 25 randomly selected college seniors was found to be 23.5 years, and the standard deviation of all college seniors was 1.3 years. Which of the following is the correct symbol for 1.3 years?
At the .05 significance level, can we conclude that the mean waiting time is less than 3 minutes?
(a) What is the relative frequency (i.e., proportion) of observations falling in the 0.260-0.280 interval? (Give your answer to four decimal places.) (b) What is the shape of the data distribution?
Use Bayes's rule to find the conditional probability that Julianne is a carrier, given that she and Jason have one child who does not have cystic fibrosis.
What is the relationship between a confidence interval and a single sample, two-tailed hypothesis test? How are they the same? How are they different?
Recall that in Exercise 45 the personnel director for Electronics Associates developed the following estimated regression equation relating an employee's score on a job satisfaction test to length of service and wage rate.
On any given day, about 45% of the stocks on the American Stock Exchange increase in value. A random sample of four independent stocks is chosen.
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