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Ages of College Students The dean of students wants to see whether there is a significant difference in ages of resident students and commuting students. She selects a sample of 50 students from each group. The ages are shown here. At a 0.05, decide if there is enough evidence to reject the claim of no difference in the ages of the two groups. Use the standard deviations from the samples and the P-value method.
22 25 27 23 26 28 26 2425 20 26 24 27 26 18 1918 30 26 18 18 19 32 2319 19 18 29 19 22 18 2226 19 19 21 23 18 20 1822 21 19 21 21 22 18 2019 23
Commuter students18 20 19 18 22 25 24 3523 18 23 22 28 25 20 2426 30 22 22 22 21 18 2019 26 35 19 19 18 19 3229 23 21 19 36 27 27 2020 21 18 19 23 20 19 1920 25
The J.O. supplies company buys calculators the probability of a defective calculator is 10%. If 100 calculators are selected at random, what is the expected number of defective?
Fitting of multiple linear regression equation - Give a list of the model assumptions for a regression model.
Using the spreadsheet for exercises 1-3, estimate how the population will change from this generation to the next under each of the following conditions.
Randomly selected cans of Coke are measured for the amount of cola in ounces. The sample values listed below have a mean of 12.19 ounces and a standard deviation of 0.11 ounces. Use a 0.05 significance level to test the claim that cans of coke hav..
Evaluate and interpret the coefficient of correlation and At the 0.05 level of significance, is there a significant linear relationship between calories and fat?
Bags of tea are sampled to ensure proper weight. The overall average for samples is 8 ounces. Each sample contains 10 bags. The average range is 0.1 ounces.
The speeds of all vehicles have a bell-shaped distribution with a mean of 72 mph and a standard deviation of 3 mph. Using the empirical rule, find the percentage of vehicles with the following speeds on this section of I-95.
Graph this equation put at last five points for the equation. Graph each inequality. use the test point method.
A plus four 95% confidence interval for the difference between the two population proportions of wrist injuries is: A. 0.2909 ± 0.1674. B. 0.2909 ± 0.1069. C. 0.2909 ± 0.0907. D. 0.2909 ± 0.1275
To test whether the population standard deviation differ significantly using Chi-Square test.
The sat scores attainted by the students in nyc are approximately normally distributed with a mean of 500 and a standard deviation of 80. Find the percentage of students who score less than 700.
Comprise appropriate (BPS formatted) descriptive statistics table inferential statistics table.
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