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A study published in the British Medical Journal (January 2012) sought to determine whether exercise would help extend the lives of patients who have had non fatal heart attacks. A sample of 800 patients with heart failure was recruited; 390 received exercise training and 410 did not. There were 78 deaths among the exercise group and 114 among those who did not exercise. Can researchers infer at the 5% significance level that exercise training reduces the death rate of persons who have previously suffered heart attacks? Solve manually (show all work) and by Mega Stat only. Indicate your hypotheses, decision rule, statistical decision and management conclusion using the critical value and then find the p-value and state your decision rule, statistical decision and management conclusion using this method.
Construct a 90% confidence interval for the population proportion p . Does your result agree with your conclusion in part (a)?
Agricultural researchers are studying three different ways of planting peanuts to determine whether significantly different levels of production yield will result.
Does the data prove a significant difference in mean times?
Assume that the measurements came from a normal distribution. The variability of the manufacturing process is unknown means the same as the standard deviation is unknown.
Consider the following estimated regression equation, based on 10 observations.
Find the most powerful predictor among the six independent variables using regression.
Computing the probability values for the given discrete distribution - What is the probability that you did not shake hands with a person with the flu
Calculate (a) MAD, (b) MSE, and (c) MAPE for the following forecast versus actual sales figures.
The casino game craps is based on rolling two dice. Here is the assignment of probabilities to the sum of numbers on the up face when two dice are rolled:
Compute the mean, standard deviation, median, and standard error for each group.
The population of lengths of aluminium-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of 0.2 inches.
At.01 significance level, is there relationship between job pressure and age?
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