Empirical research on stock market data indicates that over the course of a year, 60% of stocks go up. A random sample of 600 stocks is going to be chosen at the beginning of next year. Let p be the proportion of the stocks in the sample that go up over the course of a year. Answer the following. (If necessary, consult a list of formulas.) (a) Find the mean of p. 0 (b) Find the standard deviation of p. 0 (c) Compute an approximation for P(p>0.64), which is the probability that more than 64% of the stocks in the sample go up over the course of the year. Round your answer to four decimal places. X S

Suppose a population is known to be normally distributed with a mean, μ, equal to 144 and a standard deviation, σ, equal to 27. Approximately what percent of the population would be between 90 and 198?

Suppose in 2000, the science scores for female students had a mean of 146 with a standard deviation of 35. Assume that these scores are normally distributed with the given mean and standard deviation.   _________________ of the female students scored between 76 and 216

Find the mean and standard deviation for each Poisson: a. A = 6 (Round your standard deviation to 3 decimal places.) Mean Standard deviation b. A = 18 (Round your standard deviation to 3 decimal places.) Mean Standard deviation c. A = 3 (Round your standard deviation to 3 decimal places.) Mean Standard deviation

Find the indicated IQ score. The graph to the right depicts IQ scores of adults, and those scores are normally distributed with a mean of 100 and a standard deviation of 15. ... The indicated IQ score is. (Round to the nearest whole number as needed.) X 5 0.3204

SAT scores for the year 2017 in the United States had an average of 1060 and a standard deviation of 195. Let's pretend they were normally distributed. What percent of scores were between 1000 and 1200? 68% 38.44% 99.7% 37.92% 76.36% 95%

Determine if the following statements are true or false. a. Jane took a sample of n = 100 observations from a population with mean and standard deviation. Mike also took a sample of n = 200 observations from the same population. Then, Mike’s sample mean will be closer to the true population mean than Jane’s sample. b. Jane took a sample of n = 100 observations from a population with mean and standard deviation. Mike also took a sample of n = 200 observations from a population with mean and standard deviation 2. Then, the sample mean from Mike’s sample is more likely to be close to the true mean than the sample mean from Jane’s sample. That is, the probability that X is between 90% and 110% of mean is higher for Mike’s sample than for Jane’s sample.