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In order to estimate the average time spent on the computer terminals per student at a local university, data were collected for a sample of 81 business students over a one week period. Assume the population standard deviation is 1.2 hours.
A) The standard error of the mean is
B) With a 0.95 probability, the margin of error is approximately
C) If the sample mean is 9 hours, then the 95% confidence interval is
Real estate agents always say "location, location, location" is the most important thing in buying a house. We want to know if the sales prices of homes in two neighborhoods are similar. A random sample is taken from each neighborhood. The prices ..
For each of the following problems, assume that the homogeneity of variance assumption has not been met and that you will need to use the adjusted Welch statistic.
The sample size n, the sample means, and the sample standard deviations for the two groups are given
determine if the improvement is of practical significance one should. Crop researchers plant 100 plots with a new variety of corn. The average yield for these plots is x' = 130 bushels per acre
What is the probability you pick a plum and Which of the following is a legitimate probability distribution for this situation
If 1 man aged 18-24 is arbitrarily chosen, determine the probability that his serum cholesterol level is between 165 and 200.
Determine the probability that their SAT scores will differ by more than 50 points?
The researchers planned to use simple linear regression to see if the age at which a baby was first able to crawl could be predicted from the average outdoor temperature six months after each baby's birthdate.
The summation sign is usually represented by:
The 95% prediction interval for a new patient with a 2-day cholesterol level of 220 is
What is the probability that a cereal would either high calorie or high fiber? In other words, what is P(high calorie or high fiber)?
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.
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