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In a telephone survey of some 700 people, 45 percent responded positively to liking cats. Calculate a confidence interval, at the 95 percent level, that will reveal the interval estimate for the proportion of people who like cats within a target population of 60,000 people. How would you interpret the results?
Why do we want to assume that our sample data represent a population distribution? What are the differences between the binomial and normal distributions?
Is there sufficient evidence at the 0.05 level of significance to conclude that the proportion of women physicians at the university health system exceeds 27.9%?
We wish to construct a 90% confidence interval on the mean of a population known to be normally distributed based on a sample of 20 observations having a sample mean of 8 and a sample standard deviation of 2. What is the standard error?
Decide whether experiment is binomial, Poisson or neither based on info given. Each week man plays game in which he has a 21% chance of winning.
What about floor and ceiling effects? How can these issues preclude a significant correlation coefficient from being discovered?
Generate a relative frequency histogram using ten-point intervals to show the distribution of the scores.
Then estimate demand again with a weighted moving average in which sales in the most recent year are given a weight of 2 and sales in the other two years are each given a weight of 1.
What sample size would be required to obtain the error of ±10 square millimeters with 99 percent confidence?
ABC Corporation has been using statistical process control for several months.
At the end of 24 weeks of treatment, subjects were classified as responders or non-responders to treatment based on a battery of psychological tests.
Correlation rule states that if X and Y are correlated, X has caused Y.
Explain why comparing children whose parents chose a Montessori school with children of other parents would not show whether Montessori schools perform better than other programs?
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