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The heights of 1000 students are normally distributed with a mean of 174.5 centimeters and a standard deviation of 6.9 centimeters. Assuming that the heights are recorded to the nearest half-centimeter, how many of these students would you expect to have heights.
(a) Less than 160 centimeters(b) Between 171.5 and 182 centimeters inclusive?(c) Equal to 175.0 centimeters(d) Greater than or equal to 188 centimeters
Determine the probability that a sample proportion for n=30 is within 0.10 of the true population proportion of 0.40, which represents the proportion of cola drinkers who prefer a Coca-Cola drink.
Perform 5 t-tests on the data comparing C1 to C2 on each of the 5 questions. Indicate which of the 5 variables has a difference between C1 and C2.
Assuming that these results are sample data randomly selected from the population of all past and future Olympic games
If is the proportion of the next 100 shoppers that buy a packet of the crackers after tasting a free sample, then the probability that fewer than 30% buy a packet after tasting a free sample is approximately.
Twelve case of leukemia are reported in people living in a particular census tract over a five year period. Is this number of cases abnormal if only 6.7 cases would be expected based on national cance-incidence rates?
Draw a sketch of the standard normal distribution curves, one for the current process and another one for the recentered process. Label the spec limits and shade the area of the curve that corresponds to your answer.
If the true mean for Saturday sales is now $4500, what is the probability of accepting the (false) null hypothesis.
What proportion of children 10-15 years would be classified as hyperlipidemia(assume that hyperlipidemia is defined as a total cholesterol level over 200)?
Testing for two Proportions - Is the difference between the averages statistically significant?
What is the probability that a randomly selected cell phone bill is more than $67.75?
Fifty samples of size 600 were drawn from a manufacturing process and the number of defectives in each sample was counted.
For the sample of 32 lg us cities the correlation between the mean # of sq ft per office worker and the mean monthly rental rate in the central business district is the -.363 at the .05 significance level
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