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Daily sales at a hardware store are normally distributed with a mean of $3500 and a standard deviation of 240.a) A random sample of 16 days sales is selected and the mean is recorded as $3320, should this be of concern to management? why or why not? b)If 62% of daily sales are greater than x, find x. C) find the inter-quartile range. d)If on a randomly selected day sales are more than $4150, would that daily sales figure be considered a potential outlier? why or why not? e) Find the probability that sales on a randomly selected day are at most $3445.
Using a significance level of 0.05 I want to conduct 3 hypothesis tests using the data below. I need to state my alternative and null hypotheses and test a claim about a proportion.
A random sample of 15 Golden Retrievers has an average weight of 66 lb. The percentile rank of this sample is: A.85. B.10. C.90. D.80. E.93.
What is the difference between qualitative and quantitative data? Provide an example of each type. What is a null and alternative hypothesis?
In a sample of 1,000 representing a survey from the entire population, 650 people were from Laketown, and the rest of the people were from River City.
Using the Hypothesis Tests Two Sample file and a .05 significance level, test whether there is a difference in the mean salary for men versus women.
He argues that the regression effort says people who perform very poorly in their previous job tend to perform well in their next job. Is this what the regression effect says? Explain.
Managers at Beta Technologies, Inc., have collected current annual salary figures and potentially related data for a random sample of 52 of the company's full-time employees.
Critically illustrate out the properties of a normal distribution. Explain why there are an infinite number of normal distributions.
The consultant is given a sample of 225 batteries to test. A. Calculate the standard error of the mean.
A shipment of 10 items has two defective and eight nondefective items. In the inspection of the shipment, a sample of items will be selected and tested. if a defective item is found the shipment of 10 will be rejected.
Suppose we have a population of scores with a mean (μ) of 975 and a standard deviation (σ) of 15. Assume that the distribution is normal. What percentage of the population will lie between 960 and 990?
Use the binomial distribution in the Data Analysis add - in to simulate the distribution of men and women among the next ten arrivals at an emergency room, assuming that, on average, six people out of ten who arrive are men.
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