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A company that manufactures computer chips wants to use a multiple regression model to study the effect that 4 different variables have on y, the total daily production cost (in thousands of dollars). Let denote the coefficients of the 4 variables in this model. Using 19 observations on each of the variables, the software program used to find the estimated regression model reports that the total sum of squares (SST) is 661.86 and the regression sum of squares (SSR) is 159.36 . Using a significance level of .10, can you conclude that at least one of the independent variables in the model provides useful (i.e., statistically significant) information for predicting daily production costs?
Perform a one-tailed test. Then fill in the table below.
The null hypothesis
The alternative hypothesis
The type of test statistic
The value of the test statistic (round to two decimal places)
The critical value at .10 level of significance.
A population of scores has m=50 and o=10. If 5 points are added to every score in the population, then the new mean and standard deviation would be:
Can you determine the number of levels used for each factor? Explain. Describe a treatment for this experiment and determine the number of treatments used.
Determine the rejection region for the hypothesis Ho : mean D= 0 if H a : mean D > 0. Use a = 0.01. z>
Test the mean cholesterol content in the egg is greater than 2.5 percent
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Which measure of association would the researcher use to compare the relationship between the IV and DV? Why?
The largest value in a set of data is 160, and the smallest value is 70. If the resulting frequency distribution is to have six classes of equal width, what will be the class interval?
Determine a 95% confidence interval for mean amount spent by all Internet shoppers.
If you did not know anything about standard deviation of population from which sample was taken, find out the 95% confidence interval for mean test score.
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