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Construct a 90% confidence interval for (p1-p2) in each of the following situations: a) n1=400; p1 =0 .67; n2 = 400; p2 =0.58 b) n1 =180; p1 =0.29; n2 = 250; p2 =0.27 c)n1 = 100; p1 = 0.44; n2 = 120; p2 =0.59 90% confidence interval for each a) (___ , ____) b) (___ , ____) c) (___ , ____)
Choose a research question that can be addressed using a t-test. Ensure your research question allows you to collect data to analyze. Devise a plan to collect your data
Identify the type of study proposed and indicate its specific strengths and weaknesses and
1. Provide a recommendation to the president that maximizes profits
Develop a 95% confidence interval estimate of the population mean sales price and population mean number of days to sell for Gulf View condominiums. Interpret your results.
1. Do this exercise by hand. A famous brand-name manufacturer wants to know whether people prefer Nibbles or Wribbles. They sample each type of cracker and indicate their like or dislike on a scale from 1 to 10. Which do they like the most?
Beanie Babies are toy stuffed animals that have become valuable collector's items. Beanie World Magazine provided the information on 50 Beanie Babies given in beanie.xls.
1. introductionexplain the purpose of the study.ii. summary of data collectionidentify sample population sampling frame
To display the distribution of "countries of origin" for cars in a USCB parking lot, which type of graph could be appropriate?
Raftelis financial consulting reported that the mean quartely water bill in the US is 47.50. Some water systems are operated b public utilities while other water systems are operated by private companies.
Perspective about the problem you are trying to analyze; in other words, you should review the literature concerning your subject. The library or the web will be a good source of information.
And the rest of the people were from River City. Out of the sample, 19 people had some form of cancer. Thirteen of these people were from Laketown
A local ice-cream store receives an average of 3 customers per hour. Assume that the arrival events are well described by Poisson distribution. The cashier wants to leave the store to run an errand. The manager computes the expected time T between..
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