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The manufacturer of Winston Tire Company claims its new tires last for an average 40,000 miles. An independent testing agency road-tested 20 tires to substantiate the claim made by the Winston Tire Company. The sample mean was 39,000 miles with a sample standard deviation of 5,000 miles. Using the .05 level of significance and the five-step hypothesis testing procedure, determine if there is reason to reject the claim made by Winston Tire Company and conclude that tires last for less than 40,000 miles.
Determine the mean and standard deviation of the data. What percentage of the data lies within one standard deviation of the mean value?
In past, mean processing time was 45 days. At 0.05 level of significance, is there evidence that mean processing time has changed from 45 days?
Give an example using either completing the square or the quadratic formula and explain each step as if you were teaching someone who had never used the method before.
A random sample of 121 checking accounts at bank showed an average daily balance of $280 the standard deviation of the population is known to be $6. Find the standard error of the mean.
A normal distribution with mean value 110 and standard deviation 15. Approximate the probabilities below. (Round all answers to four decimal places.)
Your customers have been divided into 3 groups. The first group represents 15% of customers, and these customers spent an average of $29.76 last year.
Perform a test to determine whether there is sufficient evidence to support a claim of a linear correlation between two variables. Find the critical values of r given the number of pairs of data n and the significance level alpha.
Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.
"You are running a chi-squared test. If you have 5 groups with 3 characteristics each, what would your critical value be with an alpha of .25? a . Between 0 and 3.0
Explain why the polls that are so frequently quoted during early returns on Election Day TV coverage are an example of cluster sampling.
If the standard deviation is $89.46, find the probability that a randomly selected customer spends between $550.67 and $836.94.
What proportion of children 10 to 15 would be classified as hyperlipidemic (assume that hyperlipidemia is defined as a total cholesterol lelvel of 200)?
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