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Assume men's weights are normally distributed w/ a mean of 172 lb. and a s.d. of 29lb.
a) If one man randomly selected, find the probability his weight is between 166 and 176 lb.
b) If 16 men selected, find the probability that the mean weight is between 166 and 176 lb.
The life corn delight popcorn maker is normally distributed with them mean of 20 months and a standard deviation of two months. The manufacturer will replace on the life popper if it breaks during the guarantee period.
A group of investors wants to develop a chain of fast food cafés. In determining potential costs for each facility, they must consider, among other costs, the average monthly cost of electricity.
Comparison of paired and unpaired samples test - Prepare a brief conclusion statement summarizing your results. What can you tell this MHMR about client satisfaction? What could you suggest they do to improve?
He argues that regression effect says people who do very poorly in their previous job tend to perform well in their next job. Is this what the regression effects? Describe in detail.
At.05 level of significance, is there sufficient evidence to conclude that difference exists between proportion of cats and proportion of dogs which sleep more than 10 hours per day?
Randomly select a sample of five rental agencies. Start with row two and column two. The number is 90935. Use the first two numbers starting with 90.
The following frequency distribution reports the number of frequent flier miles, reported in thousands, for employees of Brumley Statistical Consulting, Inc. during the first quarter of 2004.
Sketch density curves that might explain distributions with fallowing shapes: symmetric, but with two peaks( i.e., two strong clusters of observations)
Administrators at a university are planning to offer a summer seminar. It costs $3000 to reserve a room, hire an instructor, and bring in the equipment. Assume it costs $25 per student for the administrators to provide the course materials.
The lifetimes of light bulbs of a particular type are normally distributed with a mean of 370 hours and a standard deviation of 5 hours. What percentage of bulbs has lifetimes that lie within 1 standard deviation of the mean on either side?
Please explain the term analysis variance so a person without formal statistics education can understand.
A shock can cause the failure of component 1 alone with probability p, component 2 alone with probability q, both components with probability r, or have no effects with probability 1-p-q-r. Suppose no repairs are possible and the system fails when..
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