To simulate this production in StatCrunch, fill a column having 1000 rows, and assume that this simulates a binomial experiment with n=1000 and p=0.91. (Try Data | Simulate Binomial. Fill the window with appropriate values.) Then seevar1 in StatCrunch.

MAT 120 Project 2

1.Fill a column (call this column C1) having 1000 rows; let this simulate a binomial experiment with n = 1000 and p=0.91. Display an enlarged simple histogram for C1.

2.Display an enlarged simple probability plot for C1. [Do the simulated data in C1 appear to be normally distributed? (Yes or no)]

3.Display a screen clip with the sample mean and sample standard deviation for C1.

4.Display an enlarged single distribution plot, using your mean and standard deviation for C1. Assume that it's normally distributed.

5.Assuming you have a binomial distribution with and , what is the probability of randomly getting a score less than or equal to 930? Show the shaded graph of this distribution.

6.Assuming you have a normal distribution with the mean and standard deviation in Task 3, what is the probability of randomly getting a score less than or equal to 930? Show the shaded graph of this distribution. Be sure to use the continuity correction.

7.Assuming you have a binomial distribution with and , what is the probability of randomly getting a score less than or equal to 925? Show the shaded graph of this distribution.

8.Assuming you have a normal distribution with the mean and standard deviation in Task 3, what is the probability of randomly getting a score less than or equal to 925? Show the shaded graph of this distribution. Be sure to use the continuity correction.

9.Assuming you have a binomial distribution with and , what score is at or greater than 95% of all other scores? Show the shaded graph of this distribution.

10.Assuming you have a normal distribution with the mean and standard deviation in Task 3, what score is at or greater than 95% of all other scores? Show the shaded graph of this distribution.