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In a simple linear regression you are told that the estimate of the slope coefficient was 0.9 and that the "t-statistic" for testing whether the slope parameter was unity or not was -3.6. What is the estimated standard error for the estimated slope coefficient?
He can award a bonus to 20 percent of the representatives. What is the cutoff point between those who earn a bonus and those who do not?
Construct a stem-and leaf display for the data set? Construct a box plot for the data set? Draw conclusions about the data (e.g. are there any outliers, etc, etc.).
The sample mean was $22,098 and the standard deviation was $6050. Is there evidence at the 1% significance level that the cost of attendance has increased?
For the following independent random samples, use the z-test and the 0.01 level of significance in testing Ho:u1 = u2 versus H1:u1 = u2.
In the following questions, you should demonstrate your understanding of sampling distribution:
The standard deviation was 2. At α = .10, is the number of years' experience of the taxi drivers really less than the taxi company claimed?
To determine whether two categorical variables are independent, one should use the:
It is believed that population standard deviation is 15 days. If test is conducted using a 0.05 level of significance, what conclusion must be reached?
Five children under twelve are selected at random. The probability that the average number of hours that they spend each week watching television is at least 30 is about?
Discuss the link between the estimate and the parameter in the context of an hypothesis test. Be sure to reference the appropriate steps of the five step process in your response, based on the steps below:
The distance (in miles) are as follows:32,18,44,29,25,38,14,21,and 12. Estimate the mean commute distance of all employees of the company.
Calculate and compare the means for IQ as a dependent variable and gender as your independent variable. Do you think males and females differed in their IQ scores? Why?
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