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Q1) Sample of twenty five concession stand buys at the October 22 matinee of Bride of Chucky illustrated a mean purchase of $5.29 with the standard deviation of $3.02. For October 26 evening illustrating of same movie, for sample of 25 buys the mean was $5.12 with a standard deviation of $2.14. Means appear to be very close, but not variances. At α = .05, is there a difference in variances? Illustrate all steps clearly, including the illustration of the decision rule.
At.01 significance level is it sensible to conclude that modification decreased the number of traffic accidents?
Calculate (rounded to the nearest tenth) The correlation between IQ and Anxiety r =??
In addition, record the values for the UCL, center line, and LCL. Also, record any points that are out of control. Use a z-value of three.
Suppose that the number of babies born during an hour at a hospital's maternity wing follows a Poisson distribution with a mean of 4 per hour.
In which of the following situations is bootstrapping (and other resampling methods) often used and Which of the following is a valid description of the bootstrapping method.
Gas consumption of 3 cars (labeled car A, car B, and car C) using 4 different kinds of gasoline. Is there difference among kinds of gasoline?
Determine the probability of exactly one success given Poisson distribution with mean of 2.0.
Write down the name of 4 parts of the regression equation.
An experiment was performed to investigate lifetime of a component exposed to high heat. Three different oven types were used at either 550°F or 600°F.
At a large department store, the amount a shopper spent and the shopper's gender (male or female) were recorded. To determine if gender is useful in explaining the amount of money a shopper spends at the store we could
Based on the equation of the least-squares line, we use software to predict the average number of home runs hit per game per team for the year 2001. We obtain the following.
We are interested in comparing the proportions of males and females who think earning a large salary is very important to them. I surveyed 200 of each gender and recorded their answers to the question as yes or no.
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