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What are some "real life" questions I can apply biostatistics principles to (confidence intervals, probability, descriptive data etc. principles of this nature.)? Maybe something regarding the military (marriages, deployments etc.)
Seven employees were included from Area A, 9 from Area B and 12 from Area C. The test statistic was computed to be 4.91. What can we conclude at the 0.05 level?
A DVD rental store wants to know what proportions of its customers are under age 21. A simple random sample of 500 customers was taken, and 375 of them were under age 21. Presume that the true population proportion of customers under age 21 is 0.6..
Consumption of Saturated Fat: A nutritionist claims that the proportion of females who consume too much saturated fat is lower than the proportion of males who consume too much saturated fat.
A manufacturer of car batteries claims that his batteries will last, on average, 3 years with a variance of 1 year. If 5 of these batteries have lifetimes of 1.9, 2.4, 3.0, 3.5, and 4.2 years
Estimate the probability that a randomly chosen male patient will stay longer than a randomly chosen female patient.
How much difference does the choice of model make? Which forecasts do you trust the most, and why? (f) If you have access to Ward's Automotive Yearbook, check your forecasts.
suppose 3 of cotton fabric rolls and 3 of nylon rolls contain flaws. of the rolls used by a manufacturer 70 are cotton
suppose iq scores were obtained from randomly selected couples. for 20 such pairs of people the linear correlation
How should she proceed? What additional data (if any) is needed? Which statistical analysis technique should be used? Can an analysis be performed? Why or why not?
Determine whether the evidence is enough to reject the salesperson's claim. Establish the Null and alternative hypothesis, and choose the right test statistics.
rain is forecast half the time in a certain region during a given time period. we estimate that the weather forecasts
In a recent year Barry Bonds hit 73 home runs in the 153 games he played. Assume that his home run production stayed at that level the following season.
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