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Research has shown that the people often see a correlation between two events when one does not really exist. Why do you think this happens? Can you think of at least two situations in which this should not occur and at least two situations in which it is more likely to occur?
A business owner decides to use a binomial distribution to solve one of his problems.
What is the approximate estimated bootstrap standard error of the median, What is the approximate bias of the median estimated from bootstrapping - What is the bootstrap t confidence interval for the median
Finding an X score. All Bright University will consider an applicant for its MBA program who scores 95 percent or higher on the GMAT exam. The mean and standard deviation, respectively, for this test are 578 and 94. What is the lowest score (X) th..
Make a point estimate of the population mean difference in endurance after taking the herbs. Make a 95% confidence interval estimate of the population mean difference.
The data below are the numbers of hours of homework done as reported by 24 high school juniors for the last week in September 2006.
A survey of the residents of a new subdivision on why they happened to select that area in which to live. You also wish to secure some information about what they like and do not like about life in the subdivision.
Set up probability distribution by illustrating all x values and their associated probabilities. List sample space of tossing a fair coin.
Which of the following statements isn't a property of the normal probability distribution? Please explain briefly why
Explain the effect outliers can have on the analysis of the center of this data set. Based on the box-plot and histogram you created for problem 1, do there appear to be any outliers?
Z score on comparison distribution for sample score and your conclusion. Suppose that all population are normally distributed.
Describe what do you mean by terms 'false positive" and " false negative".
Suppose that the population of heights of male college students is approximately normally distributed with mean m of 68 inches and standard deviation s of 3.75 inches. A random sample of 16 heights is obtained.
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