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With3 discrete variables(50 states, urban, and rural) and2 continuous variables(average time, 5 types of transportation). I need the mean, median, mode, standard deviation, variance and coefficient of variance for CONTINUOUS & DISCRETE variables. And then compare the two results.
What is the required sample size if you need to estimate the number of workers in the United States who are highly satisfied with their job and you want the estimate to be within 2 percentage points of a 96% confidence interval.
The average price of a car wash is $5.00. A sample of six car washes averaged $5.70 and had a sample standard deviation of $1.30. Assuming a normal population, use the critical value method to test the claim at a= 0.05.
He will then compare the season batting averages of group A (those with ballet training) and group B (those without ballet training) by comparing the mean of group A with the mean of group B.
At the .05 level, you are testing whether there is a significant difference in the proportions of college students and similar aged non college students having accidents during the two year period. If you determine not to reject the null hypothesi..
Other research examining the effects of preschool childcare has found that children who spent time in day care, especially high quality daycare, perform better on math and language tests than children who stay at home with their mothers
Distances from the past year and carry out a hypothesis test for its suspicion. State the null hypothesis and the alternative hypothesis that it would use for this test.
Identify each of the following variables are qualitative or quantitative
Scrap rates per thousand (parts whose defects cannot be reworked) are compared for 5 randomly selected days at three plants. Does the data prove a significant difference in mean scrap rates?
Test the hypothesis that = 800 hours against the alternative 800 hours if a random sample of 30 bulbs has an average life of 788 hours. Use a 0.04 level of significance.
Complete the test at the 5% level of significance.
Determine the probability distribution associated with these data.
In one region, the September energy consumption levels for single-family homes are found to be normally distributed with a mean of 1050 kWh and a standard deviation of 218 kWh. Find P45, which is the consumption level separating the bottom 45% from t..
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