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Calculate the skewness for your data set using Pearson's
Skewness Formula:
Skewness = 3 * (Mean - Median) / SD
And also determine all three (3) quartiles.
Test the Empirical Rule on your data set by finding the answers to the following questions:
(A) What percentage of YOUR data values lies within one (1) SD-unit of the sample mean? Calculate the skewness for your data set using Pearson's Skewness Formula: skewness = 3 * (Mean - Median) / SD and also determine all three (3) quartiles. Test the Empirical Rule on your data set by finding the answers to the following questions:
(B) What percentage of YOUR data values lies within one (1) SD-unit of the sample mean?
(C) What percentage of YOUR data values lies within two (2) SD-units of the sample mean?
(D) What percentage of YOUR data values lies within three (3) SD-units of the sample mean? What percentage of YOUR data values lies within two (2) SD-units of the sample mean?
(E) What percentage of YOUR data values lies within three (3) SD-units of the sample mean?
At the 5 percent level of significance, can we conclude that the mean weight is greater than 16 ounces? Determine the p-value.
Romance USA present reported that 11 percent of all books sold are of the romance genre. If a local bookstore sells 316 books on a given day
Choosing the appropriate the sampling design for the given data
How many boxes must the processor sample to be 95 percent confident that the sample mean does not differ from the population mean by more than 0.2 pounds?
To test the difference between two means using two mean z test.
If 50 cups of coffee were measured, what is the probability that: The sample mean per cup is less than 7.8 ounces?
Calculate the correlation and the regression equation and plot the data in the space provided.
If level of significance ( α ) is 0.005 in two-tail test, how large is non rejection region under curve of the t distribution?
Final step to be performed when testing hypothesis of population mean is to?
If the standard deviation of the amount of coffee dispensed is 0.4oz and the amount of coffee dispensed is normally distributed.
Using a 5% level of significance, can we say that, generally there is important difference between satisfaction levels of mid country residents and coastal residents?
Questions based on binomial distribution, variance of the binomial distribution, discrete random variable and continuous random variables.
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