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For many years TV executives used the guideline that 30 percent of the audience were watching each of the prime-time networks and 10 percent were watching cable stations on a weekday night. A random sample of 500 viewers in the Tampa-St. Petersburg, Florida, area last Monday night showed that 165 homes were tuned in to the ABC affiliate, 140 to the CBS affiliate, 125 to the NBC affiliate, and the remainder were viewing a cable station. At the .05 significance level, can we conclude that the guideline is still reasonable?
Write introduction to SPC (STATISTICAL PROCESS CONTROL)? Describe the use of SPC tools used at D2D?
If we wanted to shorten the interval of the estimation of the true mean of Saturday sales to a width of $600 in total, what should the size of our sample be to achieve it?
The diameters of oranges in a certain orchard are normally distributed with a mean of 5.26 inches and a standard deviation of 0.500 inches.
All else being equal, what occurs to your confidence interval when you increase value of alpha?
Determine the z values for 29 and 34 hours. What percent of the garages take between 32 hours and 34 hours to erect?
The ANOVA summary table below is the result of a regression of sales on year of sales. Is the relationship statistically significant at .05? Comment.
The weights (in pounds) of a sample of five boxes being sent by UPS are: 12, 6, 7, 3, & 10.
At the 0.05 level of significance, can we conclude Middletown students remained in their districts less time than Brockton students? Make use of 5-step hypothesis testing procedure.
Compute descriptive statistics for each stock and the S&P 500. Comment on your results. Which stocks are the most volatile? Compute the value of beta for each stock. Which of these stocks would you expect to perform best in an up market? Which..
Make for more scatter plots comparing GDP growth 1970-2000 to corruption, political rights, rule of law, and socio-political instability
A permutation resample for a two-sample test
Find the probability that exactly 15 flights arrive on time.
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