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Compute a 90% confidence interval of the mean for a Weschler intellegence test with mean of 100.00 and standard deviation of 15.00 for a sample of 100 people. Use two decimal places.
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 68 inches and standard deviation s of 3.75 inches. A random sample of 16 heights is obtained.
These individuals are then examined and categorized as to whether they have a heart disorder. The observed frequencies are as follows:
An experiment consists of making 80 telephone calls in order to sell a particular insurance policy.
In your own words, describe the concept of correlation, include the coefficient of correlation (r) and the coefficient of determination (r2) in your description.
The prices (in dollars) for a sample of roundtrip flights from Chicago, Illinois to Cancun, Mexico are listed. Find the mean, median, mode, range, Q1, Q2, variance, and standard deviation of the flight prices.
Based on a sample of 49 students, Healthy Lifestyles Incorporated (HLI) would like to apply the central limit theorem to ma ke various estimates. a) Compute the standard error of the sample mean. (Round your answer to 2 decimal places.)
Demand for a popular athletic shoe is nearly constant at 800 pairs per week for a regional division of a national retailer. The cost per pair is $54.
A random sample of 36 days yielded the average daily output of 890.2 tons, with standard deviation of 19.8 tons. Use this information to make a 95% confidence interval for mean.
At the 5% significance level, can the station conclude that the mean age of its listeners is not 25 yrs. Formulate and test the appropriate hypotheses. Use the critical value approach.
For a normal population with u. = 80 and a = 20 which of the following samples is least likely to be obtained?
Critically discuss some examples of descriptive statistics? Why are they used in research? What is a confidence interval?
Identify three discrete variables that appear in your current or future career. How do those variables affect your workplace, your product, or your personnel? How would changes in those variables affect these things?
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