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Should you use a two tailed test versus the one tailed test? If the hypothesis is non-directional and you predict a difference between the means but do not specify which mean will be higher a two tailed test should be used.
A company wants to know if minorities are more likely to be in certain job categories than others. Their data base codes employees 1 for clerical, 2 for custodial, and 3 for manager. A logistic equation was fit to the data with SPSS.
What is your conclusion regarding null hypothesis?
Assume a linear relationship, use the least square method to find the regression coefficients bo and b1 and Predict the mean kilowatt usage when the average temperature is 50 degrees Fahrenheit.
As part of its testing program, LongLast tests a sample of 25 batteries. What is the standard error of the mean?
The statistical analysis predicted that there would be 104 foxes. Calculate the residual for that data point.
The sampling distribution of the average score and Suppose x' is your average pay for the 100 weeks. Then x' has approximately
A 99% confidence interval estimate of the population mean can be interpreted to mean that we have 99% confidence that the true population mean will fall within the confidence interval estimate.
If the sample size is 36 with three treatment means (response variables) and you are performing an ANOVA, then the degrees of freedom for the error term will be:
A random sample of 121 automobiles traveling on an interstate showed an average speed of 65 mph. From past information, it is known that the standard deviation of the population is 22 mph.
To find out the estimate of between and within treatments.Samples were selected from 3 populations. The data obtained follow.
Assuming we can verify that the data set is approximately normally distributed, what percentage of times will the server be down less than 24 minutes?
Using the least squares coded method, determine the equation for the straight line going through the earnings. Project, using the equation for the average hourly earnings for the year 1990
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