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1. When you are using regression, describe in your own words what R square means.
2. If we want to increase our confidence level from 95% to 99%, what happens to our confidence interval?
3. If we leave our confidence level at 95%, how can we reduce our confidence interval?
4. What tool would be used to determine if the software really reduced the miles driven per delivery?
5. What type of data do you have?
To estimate the mean of the population from sample information, we need to calculate the standard deviation of the distribution of the sample means around the population mean.
If the sample standard deviation of the sample was $630 also the sample size was 50. Findout the 90% confidence interval of true mean.
If we assume all the possible random samples of 250 students at this university, 95 percent of the samples should have means among what two numbers.
Find out the probability
To determine whether the mean is greater than 16 ounces using large sample test.
Investigate the cost of a home mortgage and to determine the monthly payment.
Which probability distribution is suitable when sampling without replacement?
Find the critical F value for the Following,
Part 1. What is the appropriate distribution for such data? Part 2. Is this lot anomalous?
The weight of the oranges, in pounds (1 pound = 16 ounces) is a random variable with standard deviation
Be certain to mention the direction of the relationship, the strength of the relationship, and whether our findings are statistically significant
Find out the least-squares regression line and interpret its slope.
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