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A manufacturing firm has collected information on the number of defects produced each day for the past 50 days. The data have been described by the accompanying Minitab box-and-whisker plot.
a. What is the approximate value of the median? The first and third quartiles?
b. What do the asterisks (*) at the right of the display indicate? What implications might they have for the production supervisor?
c. Does the distribution appear to be symmetric? If not, is it positively skewed or negatively skewed?
a population has a mean of 50 and a standard deviation of 13. if a random sample of 36 is taken what is the probability
give an example of how you may use a correlation or simple regression to examine the relationship between two variables
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How do you derive the OLS estimator for a regression model with one explanatory variable and an intercept?
Assume that the standard deviation s is known to be $5.50. Using a 0.05 level of significance, would we conclude the typical amount spent per customer is more than $20.00?
compute a 95 confidence interval for the population mean based on the sample 1.5 1.54 1.55 1.51 0.09 0.08 1.55 0.07
According to the U.S. Bureau of the Census, 75% of adults regularly drank alcohol in 1985. An investigator predicts that fewer adults drink now than drank then.
suppose that you arrive at a single-teller office to find three customers waiting in line and one being served. if the
In a random sample of 120 cheerleaders, 54 had suffered moderate to severe damage to their voices. With 90% confidence, what can we say about the maximum error if we use the sample proportion 54/120 = 0.45 as an estimate of the true proportion of ..
The probability of a failure during the warranty period is 5%.if 90% of the connector are kept dry and 10% are wet, What proportion of connectors fail during the warranty period?
there are 30 tennis balls in a box of which 18 are new and have never been used. three of the 30 balls are selected at
If random sample of 9 loads is selected for weight check, determine probability that mean weight of those loads is more than 40.60 tons.
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