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1. A principal at a large elementary school (grades 1 - 5) is considering making changes to the bus schedule. She wants to use stratified sampling to determine the potential impact of the proposed changes. Advise the principal on how the desired sample might be drawn. Your response must clearly identify the "stratas" you propose to use and the rationale for your choice of stratas.
2. In your own words, explain the difference between correlation and causation. Provide your own example to illustrate that correlation is not the same as causation. (Answers copied from the text will not receive credit)
3. In your own words, describe the difference between a discrete and continuous variable. Give an example of each type of variable.
4. In your own words, explain the meaning of the term "resistant" by comparing the properties of the mean and the median. Give a simple example to illustrate your point. (Examples copied from the book will not receive credit)
5. An ice-cream shop claims that the mean weight of one scoop of ice-cream is 50 grams. A sample of 100 scoops was found to have the mean of 48.2 grams. A test was made of H0:μ=50,H1:μ<50 and the null hypothesis was NOT rejected. In a letter to the shop owner you need to state your conclusion in "plain language". You may use numbers in your statement, but you may not use technical jargon (e.g. null hypothesis). Write your conclusion below.
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Caselet on McDonald’s vs. Burger King - Waiting time
Generate descriptive statistics. Create a stem-and-leaf plot of the data and box plot of the data.
Problems on Sampling Variability and Standard Error and Confidence Intervals
Estimate the population mean
Conduct a marketing experiment in which students are to taste one of two different brands of soft drink
Find out the probability
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