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The breaking strengths for 1-foot-square samples of a particular synthetic fabric are approximately normally distributed with a mean of 2,250 pounds per square inch (psi) and a standard deviation of 10.2 psi.
a. Find the probability of selecting a 1-foot-square sample of material at random that on testing would have a breaking strength in excess of 2,265 psi.
b. Describe the sampling distribution for based on random samples of 15 1-foot sections.
Test a hypothesis to see if this proportion has changed since 1985. I have the standard error and a t-score of 1.660. I need the test effect, test statistic and p-values.
the age distribution of students at a community college is given below. age years number of students f under 21 2065
According to the National Football League, the average salary for players for the 2010 season was about $1.9 million while the median salary is around $770,000. Why are both numbers reported? What might the difference between the two statistics me..
the time it takes a cell to divide called mitosis is normally distributed with an average time of one hour and a
1. determine if this is an example of a variable or a parameter 79.6 of americans own at least one vehicle.2. determine
Identify your topic If you have a professional persuasive presentation pending, if you have delivered one you would like to improve, or if you have a presentation topic you want to deliver please consider using it for the course assignment.
Plot the market-share data. (b) Describe the trend (if any) and discuss possible causes. (c) Fit three trends (linear, exponential, quadratic).
if an analysis of variance is used for the following data what would be the effect of changing the value of ss1 to
In order to determine whether or not a driver's education course improves the scores on a driving exam, a sample of six students were given the exam before and after taking the course. The results are shown below:
The mean life of your sample were more than 780 hours. What is the probability that you will not buy again from this manufacturer?
A company that relies on internet-based advertising linked to key search terms wants to understand the relationship between the amount it spends on this advertising and revenue (in $).
among coffee drinkers men drink of 3.2 cups per day with a standard deviation of 0.8 cups. assume the number of coffee
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