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A statistics professor would like to determine whether students in the class showed improved performance on the final exam as compared to the midterm examination. A random sample of 7 students selected from a large class revealed the following scores: midterm 70, 62, 57, 68, 89, 63, 82 and on the final 80, 79, 87, 88, 85, 79, 91. We will test to determine if there evidence of an improvement on the final examination, at the 1% significance level. What is the alternate hypothesis?
The diameters of ball bearings are distributed normally. The mean diameter is 74 millimeters and the variance is 16. Find the probability that the diameter of a selected bearing is less than 78 millimeters.
The management of White companies considering a new method of assembling its golf cart. Compute which assembly time using the new method is faster.
There were 3 defectives in the first batch and 5 in the second. Find a 95% confidence interval for the difference in the proportion of defectives.
Consider the following time plot of the values of variable Y for each month of a 60-month period. This plot displays
Researcher asked group of 30 students - 12 of them supported change, 13 of them didn't, and 5 had no opinion. This is not binomial model as?
If the manufacturer's claim is true, what is the probability that the claim will be rejected?
In a regression model involving 30 observations, the following estimated regression equation was obtained:
Finding the probability of sample and describe the sampling distribution of the sample means.
For a standard normal distribution, findout the percentage of data that are among 3 standard deviation below the mean also1 standard deviation above the mean.
Suppose that nine additional firms will be added to the bankruptcy rolls during the next quarter. How many of those failures are likely to be attribute to fraud?
The ANOVA summary table below is the result of a regression of sales on year of sales. Is the relationship statistically significant at .05? Comment.
Could the interval be used to estimate the mean amount of time a 9-year-old American spends eating & drinking each day. Explain.
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