Suppose that an individual stock’s return is normally distributed with a mean of 10% and a standard deviation of 8%. Suppose that all stocks had the same distribution of returns. Suppose that all stocks have the same distribution of returns (and the return on 1 stock is independent of the return on another stock). What is the probability that in a sample of 40 stocks that the average return is at least 12%? (please round your answer to 4 decimal places)
Suppose that an individual stock’s return is normally distributed with a mean of 10% and a standard deviation of 8%. Suppose that all stocks had the same distribution of returns. Suppose that all stocks have the same distribution of returns (and the return on 1 stock is independent of the return on another stock). What is the probability that in a sample of 40 stocks that the average return is at least 12%? (please round your answer to 4 decimal places)
Suppose that an individual stock’s return is normally distributed with a mean of 10% and a standard deviation of 8%. Suppose that all stocks had the same distribution of returns. Suppose that all stocks have the same distribution of returns (and the return on 1 stock is independent of the return on another stock). What is the probability that in a sample of 40 stocks that the average return is at least 12%? (please round your answer to 4 decimal places)
Suppose that an individual stock’s return is normally distributed with a mean of 10% and a standard deviation of 8%. Suppose that all stocks had the same distribution of returns. Suppose that all stocks have the same distribution of returns (and the return on 1 stock is independent of the return on another stock). What is the probability that in a sample of 40 stocks that the average return is at least 12%? (please round your answer to 4 decimal places)
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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