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What is the major difference between finding significance and confidence intervals using population samples or using population proportions?
The weight of a product is normally distributed with a standard deviation of .5 ounces. What should the average weight be if the production manager wants no more than 5 percent of the products to weight more than 5.10 ounces.
Market researchers would like to know if customers prefer a well-known brand over a generic brand of soft drink. They give a large sample of people the two drinks to taste in a random order and ask them which one tastes better.
The random number generator on calculators randomly generates a number between 0 and 1. The random variable X, the number generated, follows a Uniform Probability Distribution. What is the probability of generating a number between 0 and 0.2?
Given that we have collected pairs of observations on two variables X and Y , we would consider fitting a straight line with X as an explanatory variable if:
Using a 5% level of significance, is there any difference in proportion of guests who would select the two resorts? What is your conclusion?
Your statistics instructor wants you to determine a confidence interval estimate for the mean test score for the next exam.
Would you conclude that your data set is approximately normal? If so, what percentage of your data values lie:
When we say we have confidence level of 95% what do you believe our "margin of error" is?
Can we conclude that car size is dependent on marital status? YES or NO (circle one)
The sample was collected by interviewers going to people's homes in randomly chosen areas in each of the 9 countries. The population represented by this sample was:
Which of the following is NOT true regarding the normal probability distribution.
Repetitions of numbers are not permitted, i.e., the same number cannot be used more than once in a total sequence. As examples, 27, 94 or 55 would not be permitted. How many different code groups can be designed?
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