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A ski shop manager claims that the average of the sales for her shop is $1800 a day during the winter months. Fifty winter days are selected at random, and the mean of the sales is $1830. The standard deviation of the population is $200. Can one reject the claim at alpha = 0.05? Use the traditional method
You want to prove that a population mean is not 7. Data is ratio and a large sample size will be used (n = 225). When the sample is done the sample mean is computed to be 7.2 and the sample standard deviation is 1.5.
At a probability of type 1 error of 0.05, test the claim that the assistant professors earn more than $42000 per year. the standard deviation of the population is $5230.
The relative frequency distribution of the number of TVs sold in a day in a department store in the last year is as follows: Compute the mean and standard deviation of this distribution.
Sam Sleep researcher hypothesizes that people who are allowed to sleep for only four hours will score significantly lower than people who are allowed to sleep for eight hours on a management ability test.
There are four auto body shops in a community and all claim to promptly serve customers. To check if there is any difference in service customers are randomly selected from each repair shop and their waiting times in days are recorded.
The heights of 10 sixth graders are listed in inches: {53, 61, 54, 60, 58, 62, 55, 58, 59, 56}. Find the mean, median, mode, sample variance, and range.
Digital Switches, Inc., produces a product called the C3PO with an advertised 0.5% failure rate. Calculate the range within which the population average failure rate can be found with 95% confidence.
The 99% confidence interval estimate for a population variance when a sample standard deviation of 12 is obtained from a sample of 10 items is:
Let p represent the proportion of registered voters in the state that would vote for the Republican candidate. The standard error for the proportion of those who phoned in who answered "yes" is
What is the percentage of variation in the dependent variable explained by the variation in the independent variable.
Student A and B took different statistics classes and 2 different finals. Student A had a score of 83 out of 100 and ranked 72 in his class. Student b scored 85 out of 100 and he ranked in the 70 percentile of his class.
Write the regression. Interpret the regression constant and regression coefficient. Forecast a value for monthly salary.
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