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Suppose that the exact values of the data x1, ..., x50 from an exponential distribution EXP(theta) are unknown, but it is known that 40 of the 50 measurements are larger than t.
a) Find an approximate one-sided lower 95% confidence limit for P(X>t) based on this information.
b) Note that under the exponential assumption, P(X>t) = exp(-t/theta). If t=5, use the result from (a) to find an approximate one-sided lower 95% confidence limit for theta.
Calculate the standard error of estimate for the regression equation.
In testing equality of two means below, determine the test statistic? (Use the equal variances formula)
In this table, my research is about the average amount of money people expect to spend on attomeys when they are injured. Is there a difference, depending on type of injury? Do people expect to spend more when the injury happened in a car, on job,..
At the .01 significance level can we conclude the mean age is more than 8.4 years for the cars of university students? Compute the value of the test statistic.
95% confidence interval evaluate for proportion of Americans who believe Abraham Lincoln is United States' most outstanding President is 65% to 75%. If more precise estimate is requested, then confidence level.
Using the value in the given data table finding the missing values
How do we decide if the homogeneity of variance assumption is significantly violated?
Create a scatter plot for the data. Determine the correlation coefficient for the data.
Public transportation and the automobile are two methods an employee can use to get to work each day. Samples of times recorded for each method are shown. Times are in minutes.
Using the sample information given in the above exercise, the p value for testing Ho versus Ha can be calculated to be 0.0057
Assuming that a difference (Δ) of 2 lbs. in the mean was important to detect, a maximum Type I Error (α) level of 5%, and the desire to run a two-tailed test, then:
A combination of content and supportive examples would be greatly appreciated.
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