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Suppose you are sampling from a population with population variance σ2= 1,000,000. You want the standard deviation of the sample mean to be at most 25. What is the minimum sample size you should use?
The data collected was for each car for each type of fuel. Performance was measured in miles per gallon. Perform an ANOVA test and state the results.
Suppose a survey item asks someone if something is very important, somewhat important, not very important, or unimportant. This is an example of what level of measurement?
In the case of Castenedav. Partida, it was found that during a period of 11 years in Hilda County, Texas, 870 people were selected for grand jury duty, and 39% of them were Americans of Mexican ancestry.
Your company produces a product in a market that has grown by 10% per year for the past 15 years. According to your estimate, the market is currently at 30% of saturation. Predict sales for the next 20 years.
every statement about a confidence interval contains two parts the level of confidence and the interval. suppose that
Job Interviews: Based on information from MRINetwork, some job applicants are required to have several interviews before a decision is made. The number of required interviews and the corresponding probabilities are: 1 (0.09); 2 (0-31); (0.37); 4 (..
a certain city divides naturally into ten district neighborhoods. how might a real estate appraiser select a sample of
according to a study by the american pet food dealers association 63 percent of u.s. households own pets. a report is
Please show all work details with answers, insert the graph, and provide answers to all the critical thinking questions on this form for the Unit 3 IP assignment.
the australian bureau of statistics recently released figures on petrol usage. following are the 15 leading cities in
Effect of Major Assume that estimated lengths are not affected by an interaction between gender and major. Is there sufficient evidence to support the claim that estimated length is affected by major?
In a study of the consumer's view of the economy, the probability that a consumer would buy a house during the year was 0.0013, and the probability that the consumer would buy a car during the year was 0.198. There was also a 0.0100 probability t..
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