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1. A common question many have is why study statistics in the first place.
2. Say we have a sample of 100 with mean 5 and std of 0.5 and you do not know the Population Sigma. How do you go about calculating different probabilities--say an item was selected at random and we wanted to know how far it is from the mean or the probability that it is at least 4.5 or more?
To find out the prior probability, conditional probability and posterior probability. Calculate the posterior probability that the bid will be successful given a request for additional information.
As it is a 2 _ 2 table, try also two-tailed two-sample z test for ð1 = ð2 and verify that z2 is same as your chi-square statistic. Which test do you favour? Describe why?
Random sample of 64 services is selected. Assume the population consists of 400 services. Find out the standard error of mean.
At a certain pizza parlor, 45% of the customer's order a pizza containing onions, 38% of the customer's order a pizza containing sausage, and 79% order a pizza containing onions or sausage
As a manager of an organization, what statistics would you use and why if you wanted to estimate your annual employee turnover? Be sure to specifically identify the statistical formulas and what additional data you would need to determine your est..
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 the probability that the mean weight of sixteen randomly chosen men would exceed the individual weight from part (1)?
Suppose that 98% of the customers in your market have Internet access, and you select a random sample of 500 customers. What is the probability that the sample has:
Using the raw measurement data presented below, calculate the t value for independent groups to determine whether or not there exists a statistically significant difference between the salaries of female and male human resource managers.
Determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.
Construct a 90% confidence interval for the true mean weight. What sample size would be necessary to estimate the true weight with an error of plus or minus .03 grams with a 90% confidence?
Industry standards recommend that 9 percent of new vehicles need warranty service in the first year. Determine the probability that none of these vehicles needs warranty service?
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