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Ten pairs of points yielded a correlation coefficient y of 0.79. If a=0.05, which of the following statements is correct if H 0:P=0? (Do not calculate a t-value.)
Because 0.79 is greater than 0.632, the null hypothesis is rejected.
Because 0.79 is greater than 0.602, the null hypothesis is not rejected.
There is no correlation between the variables.
Because 0.79 is greater than 0.632, the null hypothesis is not rejected.
A new-car dealer is leasing various brand-new models for the monthly rates(in dollars) listed below. Estimate the true population variance and standard deviation in leasing rate with 90% confidence.
Compute the 95% confidence interval around the mean of each of the three groups and plot the confidence interval in the space provided above.
You are working on an analysis of your company's current cost structure reviewing the various fixed and variable costs within your firm. Your objective is to maximize your firms profit.
Provide two examples for each source of measurement error and include how each example might likely influence research results.
Note that Σ x = 2233 and Σ x 2 = 138,053. At the 5% level of significance, can the instructor conclude that the new mean is different from 64?
The accounting department at Weston Materials, Inc., national manufacturer of unattached garages, reports that it takes two construction workers mean of 32 hours and standard deviation of 2 hours to erect the Red Barn model.
At.01 significance level, can we conclude that there is more variation in selling prices of oceanfront homes?
Determine the variance of firm's profit for the month.
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots. A partial ANOVA table
Scores on certain nationwide college entrance examination follow normal distribution with mean of 500 and a standard deviation of 100. Determine the probability that student will score?
Suppose a wildlife service wishes to estimate, with 99% confidence, the mean number of days of hunting per hunter for all licensed hunters in the state during a given season, with a bound on the error of estimation equal to 2 hunting days.
Determine out the regression equation. Determine the estimated sales if 40 contacts are made.
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