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In Hamilton County,Ohio, the mean number of days needed to sell a house in 86 days. Data for the sale of 40 houses in a nearby county showed a sample mean of 80 days with a sample standard deviation of 20 days. Conduct a hypothesis test to determine whether the mean number of days until a house is sold is different than the hamilton county mean of 86 days in the nearby county. Use a=.05 for the level of significance and state your conclusion.
The sample to be 99% sure the sample mean is with 1 semester hour of the population mean for all students at this college?
question the selling prices in thousands of dollars for a sample of 15 recreational vehicles sold by getaway rvs and
John suspects that a pair of dice is loaded (unfair). To test his hypothesis he rolls the dice 72 times. A total of seven comes up fifteen times
Thomas is going to make an open-top box by cutting equal squares from the four corners of an 11 inch by 14 inch sheet of cardboard and folding up the sides.
A previously used drug treatment has a mean remission time of 12.5 weeks. Does the data indicate that the mean remission time using the new drug is different from 12.5 week at a level of significance of 0.01?
Assuming this is literally true, how can it be explained? What facts and/or statistics would you need to know to expose this misleading claim?
A personnel manager is concerned about absenteeism. She decides to sample the records to determine if absenteeism is distributed evenly throughout the six-day workweek.
Prepare an analysis of your selected article. Start by identifying and summarizing the hypothesis described in the article. Then explain whether the hypothesis was rejected or accepted, and what the implications of this finding are for the study.
Would the null hypothesis be accepted or rejected in this case?
A company has set a goal of developing a battery that lasts over 5 hours in continuous use in a sample of 42 of these batteries the mean life time was 306.25 hours with a standard deviation of 29.31
Calculate the test statistic for the claim in, using the following information. Sample information: A random sample of 40 repairs has a sample mean price of $132.09 and a sample standard deviation of $13.58.
What is the probability that there are at least 40 "Bright" people among 1000 randomly chosen people? I) What is the probability that there are no more than 5% of "Bright" people among 1500 randomly chosen people?
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