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Build a 95% confidence interval for the mean of the population from the given sample data.
Assume that the population has a normal distribution.
16.4, 15.7, 16.2, 15.8 17.1 15.8, 15.9, 16.0, 16.4 15.0
According to the U.S. Census Bureau, the mean household income in the United States in 2000 was $57,045 and the median household income was $42,148.
Introduce some basic library search tools and demonstrate the relevance of statistics (in this case, regression analysis) to your chosen field of study. MS 3043 - Spring 2014 Project
Findout the percentage of trainees earns less than $900 a month utilizing normal distribution.What percentage of trainees earns less than $900 a month?
Computing the probability values for the given discrete distribution - What is the probability that you did not shake hands with a person with the flu
How large should n be so that the standard deviation of is no more than 0.01 and sampling distribution
During the past six months, 73.2% of US households purchased sugar. Assume that these expenditures are approximately normally distributed with a mean of $8.22 and a standard deviation of $1.10. 80% of the households spent more than what amount?
Forecasting: The sales data for the lone star Sports Apparel Company for the last 12 years are as follows: What is the 2001- 2012 compound growth rate?
Change the last number in that set from 36 to 14 and recalculate the confidence interval. Using the results, describe the effect of an outlier or extreme value on the confidence interval.
Explain what the coefficient of determination, R^2 (R-squared), measures. How is it related to the sample correlation coefficient?
To test the effectiveness of a new studying strategy, a teacher randomly divides a sample of 8 students into tow groups, with n = 4 in each group.
Determine the sample size necessary to estimate a population mean to within 1 with a 90% confidence given that the population standard deviation is 10, Suppose that the sample was calculated at 150. Estimate the population mean with 90% confidence..
The table given below shows joint probability distribution of X and Y . Determine the covariance between the X and Y ?
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