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You notice at the gym that it appears more women tend to work out together, whereas more men tend to work out alone. To determine whether this difference is significant, you collect data on the workout preferences for a sample of men and women at your gym. The data follows.
Males FemalesTogether 5 8Alone 7 6
a. What statistical test should be used to analyze the data?b. Identify H0 and Ha for this studyc. Conduct the appropriate analysis.d. Should H0 be rejected? What should the researcher conclude?
Assume that the histogram of the data is approximately bell-shaped. Approximately how many of the 260 students had sleep times between 355 minutes and 455 minutes per night?
According to the patient's history and physical examination. What are the chances of herniation if the MRI is positive?
Construct a relative frequency distribution for the weights of regular Coke by starting the first class at 0.7900 lb. and use a class width of 0.0050 lb.
If one employee is randomly selected, find the decimal probability (four decimal places) that his/her commute takes the following amount of time.
Make a decision using the p-value approach at the given α = 0.05.
Sstandard deviation was found to be 3.3 minutes. Is there evidence to reject the manager's claim at alpha =.02? Perform an appropriate hypothesis test.
Given that a Brand A battery just failed, what is the expected value of the time we wait until the next Brand B failure?"
How long do new batteries last on a camping trip? A random sample of n1 = 42 small camp flashlights were installed with brand I batteries and left on until the batteries failed.
Heights are sampled of kids from three schools. Using a 0.05 significance level, if when looking at ANOVA results, your p-value is 0.04, what can you say about your sample data? No minimum word count.
The mean of a normal probability distribution is 60; the standard deviation is 5.
State the values of the coefficient of correlation and coefficient of determination correct to three decimal places
Find the sample mean and sample standard deviation for the amount of unspent money returned at the end of the day.
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