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In given problem, do we need to assume that the population of miles-per-gallon values is normally distributed? Explain.
Problem A car manufacturer wants to estimate the average miles-per-gallon highway rating for a new model. From experience with similar models, the manufacturer believes the miles-per-gallon standard deviation is 4.6.
A random sample of 100 highway runs of the new model yields a sample mean of 32 miles per gallon. Give a 95% confidence interval for the population average miles-per-gallon highway rating.
In chi-square goodness-of-fit test when there is close agreement between observed frequency and expected frequency, chi-square test value will be small.
Compactness can be characterized in terms of convergent subnets (e.g. Kelley, 1955, Theorem 5.2), but only for nonstrict subnets; see also Kelley (1955, p. 70 and Problem 2.E).
Consider the following situation describing layoffs at a manufacturing plant of the Monsanto Company. Does there appear to be a case of age discrimination between those laid off and those non-laid off?
What percentage of data lies in the interval μ ± σ ? In the interval μ ± 2σ ?
At the .01 significance level, can we conclude that there is more variation?
Use the binomial distribution in the Data Analysis add - in to simulate the distribution of men and women among the next ten arrivals at an emergency room, assuming that, on average, six people out of ten who arrive are men.
The smallest quantity in a cell is minus 35, but two different cells with minus signs have 35 units in them. What problem will this cause and how should this difficulty be resolved?
sixty-four measurements are made on the speed of light. these average out to 300.007 and the sd is 10 the units being
-Explain at least two (2) possible reasons for the differences between the results of exploration and trade by the Chinese and by the European states.
if we roll a pair of fair 6 sided die let y denote the difference between the two outcomes on the two different dice.
Students from one large high school had a mean score of 58. Is there evidence to suggest that this high school is inferior?
What is the margin of error? What is the 95% confidence interval for the proportion of the population of employees who strongly dislike their current work experience?
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