Most of the stock trades at an office that handles over-the-counter retail stock sales are fairly small, but sometimes a big trade comes through. These data show the dollar value of a sample of 11 trades made during the previous day.
(a) Using a normal quantile plot, determine whether these data might be a sample from a normally distributed population.
(b) On the basis of the skewness and kurtosis of this sample, how large a sample does the CLT condition require in order to rely on a-interval for the mean?
(c) Assuming that the data are nearly normal, find the 95% one-sample-interval for the mean. What does it mean that the interval includes zero?
(d) How does the 95% interval change if the largest data point is excluded?
(e) Explain why the lower endpoint of the 95% confidence interval is positive after the outlier is removed, although it is negative with the outlier.
Already registered? Login
Not Account? Sign up
Enter your email address to reset your password
Back to Login? Click here