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A STAT 200 instructor wants to know if students tend to score differently on the lesson 4 and 5 quizzes. Data were collected from a representative sample of 60 students during the Summer 2018 semester. Data were paired by student. The mean difference, computed as Lesson 4 Quiz - Lesson 5 Quiz, was 0.3833 points with a standard deviation of 1.9891 points. [60 points]
A. Explain why it is appropriate to use the t distribution to approximate the sampling distribution in this scenario.
Let Z be a standard normal random variable. Determine the value of c
(a) State what are the explanatory and response variables. (b) Make a scatterplot of the data.
You have been assigned to analyze the accounting information for a Fortune 500 corporation. From the e-Activity, evaluate which tools you would use to analyze its business processes, indicating your rationale.
The average of 23 numbers is 14.7. What is the sum of these numbers?- Repeat the previous problem, only compute the median instead.
In what way are the quota sample and the stratified sample similar? In what way are they different? What effect does this difference have on the applications for which such samples might be appropriate?
If the applicable discount rate is 10%, what is the present value of these future earning today?
Economists believe the dollar has a 0.23 chance of appreciating against European currencies soon. What is the probability the ships will sail full?
What is the probability that the store will serve more than 20 customers in a particular 2-bour period?
Do these data support the theory that the proportion receiving responses is greater for those resumes with "white-sounding first" names?
Which method had the higher (better) median score?- Was that method always best?- Which method produced the most consistent results? Explain.
Estimate the true proportion of college students who believe in the possibility of haunted places with 99% confidence. According to Time magazine, 37% of americans believe that places can be haunted.
Describe the distribution using graphical methods. Is it appropriate to analyze these data using methods based on Normal distributions? Explain why or why not.
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