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The weight of 100 college students closely follows a normal distribution with a mean of 131 pounds and a standard deviation of 5.9574 pounds. What percent of the students would you expect to weigh at least 145 pounds?
How can you tell what are the solutions of a quadratic equation by looking at its graph? Explain.
Consider binomial distribution with 14 identical trials, and probability of success of 0.4.
A TV executive is interested in the popularity of a particular cable TV show. She has been told that a whopping 68% of American households would be interested in tuning in to a new network version of the show.
At.05 level of significance determine if correlation between rental cost and apartment size is significant.
For the most recent year available, the mean annual cost to attend a private university in the United States was $20,182. Assume the distribution of annual costs follows the normal probability distribution and the standard deviation is $4,400.
At the .05 significance level, can we conclude that there is a difference in their mean times?
Determine a 90% confidence interval on difference in mean number of production units for two shifts. Compute 99% confidence interval for part A.
Use the Internet or other resources to find an example of a research article in a professional journal of interest to you, and not in daily periodicals or weekly publications. Prepare a synopsis of the article including the following:
11% of all books sold are romance genre. If the bookstore sells 316 books on a given day, what is the probability that fewer than 40 are romances, at least 25 are romances, between 25 and 40 are romances?
The state wanted to see how three different math classes compared, so they gave a standardized test to all the students. Given the following results
A wholesaler has recently developed a computerized sales invoicing system. Prior to implementing this system, a manual system was used. The distribution of the number of errors per invoice for the manual system is as follows
A study group of long distance phone calls made from the corporate offices of Pepsi Bottling Group, Inc., in Somers, New York, revealed the length of the calls, in minutes, follows normal probability distribution.
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