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A member of Congress wants to determine her popularity in a certain part of the state. She indicates that the proportion of voters who will vote for her must be estimated within plus or minus 2 percent of the population proportion. Further, the 0.95 degree of confidence is to be used. In past elections, the representative received 40 percent of the popular vote in that area of the state. She doubts whether it has changed much. How many registered voters should be sampled?
Three scholarships are available for students. Their values are: $2,000, $2,400, $3,000. Twelve students have applied and no student may receive more than one scholarship. Assume all twelve students are in needs of the funds, how many different..
Determine 95% confidence interval for the population mean, based on the sample mean.
Class was approximately normal with mean 530 and standard deviation 80. About what percent of students will score between 370 and 690?
When combining probabilities, to find the probability of one event AND another event, the separate probabilities should be
Two events are mutually exclusive: If their intersection is 1, If they have no sample points in common.
Tthe probability distribution of each of his readings had a mean of 128 and a standard devation of 9. what is the probability of the sample mean that exceeds 140?
2 to every even-numbered card, with aces being 1s. Determine the frequencies of 0, 1, and 2. Use SPSS to get the value of test statistic and p-value.
Explain why it makes sense for a set of data to have a correlation coefficient of zero when the data show a very definite pattern.
For a population with a mean of 60 and a standard deviation of 24, find the z-score corresponding to each of the following samples. What is Om for each equation?
Sample size of only 20. Find out a 95% confidence level for population Cp.
The subjects are asked their opinions about sex and marriage, attitudes toward women, welfare, foreign policy and many other issues. The implied population is All Americans.
Replacement times for TV sets are normally distributed with a mean of 8.2 years and a standard deviation of 1.1 years. Find the probability that a randomly selected TV will have a replacement time less than 5 years.
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