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In an analysis investigating the usefulness of pennies, the cents portions of 82 randomly selected credit card charges from students are recorded, and they have a mean of 47.6 cents and a standard deviation of 32.8 cents. If the 99 cents are all equally likely, the mean is expected to be 49.5 cents and the population standard deviation is expected to be 28.866 cents. Use a 0.01 significance level to test the claim that the sample is from a population with a to 28.866 cents.
Identify the null and alternative hypotheses
Compute the test statistic
Find the P-value of the test statistic
State the conclusion
When assigning probabilities of two simple events, can we assume that each event is always equally likely to occur and, thus assign .5 to each event?
Peter, Paul, Mary, John and Martha are members of the pastoral council at a localchurch. They are to be seated at one side of a long conference table in a pastoral councilmeeting.
a sociologist wants to determine the current percentage of households using e-mail. how many households surveyed in
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About 40% of the general population donate time and energy to community projects. Suppose 15 people have been randomly selected from a community and each asked whether he or she donates time and energy to community projects.
Using the following number of flirtations actions in the 4 hour period, test the "null hypothesis'
in my office we have 20 men and 35 women. the board of directors is going to appoint four new positions president vice
In order to compare the mean charges for the three groups, the data will be subjected to an analysis of variance. Write the null hypothesis tested by the ANOVA.
1. in the basic economic order quantity eoq model if monthly demand is a constant 430 units the order quantity is 144
Applicants with exam scores in the lower 10% are directed to special retraining. What is the minimum score required to not be directed to retraining?
Please describe and define what the chi-square analysis is, the conditions under which it is used, and how it compares to the Pearson Correlation.
Determine the regression equation, letting the first variable be the independent (x) variable. Find the indicated predicted values.
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