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Explain the difference between testing a single mean and testing the difference between two means. What two assumptions must be met when one is using z test to test differences between two means? When can the sample standard deviations s 1 and s 2 be used in place of the population standard deviations s 1 and s 2 ?
Replacement times for new Ford Taurus GL automobiles are normally distributed with a mean of 7.1 years and a standard deviation of 1.4 years.
At the .10 level of significance, is the coin biased toward heads? Show your decision rule and calculations.
Use the expected value approach to decide whether to market the new product. Because of the high dollar values involved, especially the possibility of a $100,000 loss.
The results of a district spelling bee for both girls and boys are normally distributed. the 60 girls have a mean score of 71 with a standard deviation of 6, while the 50 boys have a mean score of 66 points with standard deviation of 5 points.
Proportion nonconforming is 0.10. what is the probability of (1) 1 nonconforming unit in the sample (b) 1 or less (c) 2 or more?
Complete the table and answer the following questions. Use the .05 significance level.
You can estimate the sampling distribution of y mean (y with a - on top) by repeatedly taking samples of size n with replacement from the list of sample values.
What is the probability you pick a plum and Which of the following is a legitimate probability distribution for this situation
tudent from the high school is arbitarily selected. Reply the following questions: Determine the probability that the student's ACT score is less than 22?
How does your sample compare to this theoretical distribution of sample means and what are the mean, variance, and standard deviation of the observations in your sample?
Personal phone calls received by a new employee was 3,5, and 6. assume that samples of size 2 are randomly selected with replacement from this population of three values. Find the mean of the distribution.
In order to conduct testing of the life hours of their light bulbs, they randomly sampled nine light bulbs and measured how many hours they lasted (mean = 346.6). 378, 361, 350, 375, 200, 391, 375, 368, 321 What is the variance?
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