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I have a calculated a descriptive statistics for the variable (coin) where each student flipped the coin 10 times. The mean is 4.886 and the standard deviation is 1.469. I have calculated the mean and deviation for a binomial distribution with the probability of success being 1/2 and n=10. the mean is 5 and the standard deviation is 1.581. What do these 2 problems have in common?
A recent poll of 700 people who work indoors found that 278 smoke. If the researchers want to be 98% confident of their results to within 3.5 percentage points, how large a sample is necessary?
What is the average of the third list? Or is this not determined by the information given? Repeat a) with adding replaced by b) subtracting c) multiplying by.
An economic researcher would like to know whether he can reject the null hypothesis at the 0.10 level, that no more than 20% of the households in Pennsylvania make more than $70,000 per year.
in order to increase revenue many video game publishers sell downloadable content dlc separately from the main game.
individuals filing federal income tax returns prior to march 31 received an average refund of 1056. consifer the
Reconsider the port alcohol content data from Exercise 14.22. A normal probability plot casts some doubt on the assumption of population normality. However, a dotplot shows a reasonable amount of symmetry, and the mean, median, and 5% trimmed mean..
Suppose that the measured voltage in a certain electric circuit has a normal distribution with mean 120 and standard deviation 2.
Using the 0.05 level in a two-tail test, was the percentage of violent crimes involving a weapon in this city significantly different from the 27% in the nation as a whole? Identify and interpret the p-value for the test.
Three of the 10 airplane tires at a hangar are faulty. Four tires are selected at random for a plane; let F be the number of faulty tires found. Is F a binomial random variable? Explain.
1. What can we learn through examination of the relationship between the observed and expected values with regard to the magnitude of the chi square value.
Discuss the importance of identifying an appropriate distribution of the quality characteristic in process capability analysis. Address this in the context of waiting time for service in a fast-food restaurant during lunch hour.
Has anything changed between 1936 and now that would make you believe that the approach used by the Literary Digest would work better today?
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