The life expectancy in the United States is 75 with a standard deviation of 7 years. A random sample of 49 individuals is selected.  What is the probability that the sample mean will be between 73.5 and 76 years?     0.775     1     0.55     0.22       Answer Sample:    n=   Mean=   SD=   Probability[P(X>)]=   z1=   z2=   Probability[P(Z1)]=   Probability[P(Z2)]=   Graph

The game of Chuck-a-Luck is played as follows: You pick a number between 1 and 6 and toss three dice. If your number does not appear, you lose 1. If your number appears x times, you win x. On the average, use simulation to find the average amount of money you will win or lose on each play of the game.

Use @RISK to draw a binomial distribution that results from 50 trials with probability of success 0.3 on each trial, and use it to answer the following questions. a. What are the mean and standard deviation of this distribution? b. You have to be more careful in interpreting @RISK probabilities with a discrete distribution such as this binomial. For example, if you move the left slider to 11, you find a probability of 0.139 to the left of it. But is this the probability of less than 11 or less than or equal to 11? One way to check is to use Excels BINOM.DIST function. Use this function to interpret the 0.139 value from @RISK. c. Using part b to guide you, use @RISK to find the probability that a random number from this distribution will be greater than 17. Check your answer by using the BINOM.DIST function appropriately in Excel.

SAT scores have an average of 1200 with a standard deviation of 60. A sample of 36 scores is selected. What is the probability that the sample mean will be less than 1230?      0.999     0.222     0.899     1     Answer Sample:    n=   Mean=   SD=   Probability[P(X<)]=   z=   Probability[P(Z<)]/Normal Distribution=   Graph