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Find the necessary probability for normal distribution.
1. The scores on the verbal portion of the SAT have a normal distribution with a mean of 500 and standard deviation of 100.
-What is the proportion of people that score at least 700?
-If a student who took the SAT is randomly chosen what is the probability that the student scores at most 350 on the verbal portion?
-George scored higher than about 62 percent of the people on the verbal portion of the SAT. What is George score?
2. The average number of hours of sleep per night that a college freshman gets is 6.50 with a standard deviation of 1.80 hours. If 35 college freshmen are randomly chosen find the probability that they average at least seven hours of sleep per night.
Which sessions, morning or afternoon, had more stable or uniform attendance over three-day period? Describe by using the suitable calculation for each data set and compare two calculations .
From Group of 40 People, a jury of 12 people is selected. In how many various ways can a jury of 12 people be selected?
In optimal solution, determinethe critical path?
Create a 99 percent confidence interval for mean daily intake of milk. You may suppose daily intake amounts are usually distributed.
If the basket ball player is a 74% free throw shooter, then, on average, how many free throws will he or she make in a game with eight free throw attempts?
At the .01 significance level, is there a relationship between job pressure and age?
The results of the simple linear regression are provided below.
Regression equation to predict the dependent variable using multiple regression analysis:
Analysis of data sets assignment
Assume that the number of left-handers is a binomial random variable. (Refer to the formula for mean and standard deviation for binomial prob. Distribution)
Internal study by Technology Services department at Lahey Electronics disclosed company employees get the average of 2 emails per hour. Suppose arrival of these emails is approximated by Poisson distribution.
One measure of the overall sampling error in the entire distribution of sample means is the
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