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Use the appropriate normal distribution to approximate the resulting binomial distributions. A convenience store owner claims that 55% of the people buying from her store, on a certain day of the week, buy coffee during their visit. A random sample of 35 customers is made. If the store owner's claim is correct, what is the probability that fewer than 24 customers in the sample buy coffee during their visit on that certain day of the week?
What is a p-value in testing hypothesis? How does this p-value help us to decide to/not to reject a Null hypothesis?
Of 260 females, 224 answered yes. Construct a contingency table to evaluate the probabilities. What is the probability that a respondent chosen at random:
Consider the following frequency table of the performance ratings on a scale of 1-good, 2-fair, and 3-poor, bestowed on their local baseball team by a collection of 100 fans:
In each of the following cases. find the mean , variance and standard of the sampling distribution of sample proportion p.
A study of the time spent shopping in a supermar- ket for a market basket of 20 specific items showed an approximately uniform distribution between 20 minutes and 40 minutes. What is the probability that the shopping time will be:
Give an example in health care management where you would use probability statistics to determine an outcome such as providing raises based on certain financial goals being met?
Identify Ho and Ha for this study, conduct the appropriate analysis, and should Ho be rejected? what should the researcher conclude?
Determine the probability that their SAT scores will differ by more than 50 points?
Based off the three requirements that must be met before an analysis of variance test (ANOVA) can be used: Samples must be randomly selected from the populations to be evaluated.
How would you find the normal approximation to the binomial probability P(x = 5) in part A? Please show how you would calculate µ and σ in the formula for the normal approximation to the binomial, and show the final formula you would use without g..
A simple random sample of 36 bulbs yields a mean lifetime of 504 hours. Construct and interpret a 99% confidence interval for the mean lifetime of all such bulbs.
Determine the critical region and critical values for z that would be used to test the null hypothesis at the given level of significance, as described in each of the following:
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