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If you were to read the results of a study showing that daily use of a certain exercise machine resulted in an average 10-pound weight loss, what more would you want to know about the numbers in addition to the average, before trusting the results? (Hint: Do you think everyone who used the machine lost 10 pounds?)
An auto manufacturer advertises that "90 percent of the cars we have ever made are still on the road." Assuming this is literally true, how can it be explained? What facts and/or statistics would you need to know to expose this misleading claim?
"The larger the sample, the more reliable the results." Do you agree or disagree with this statement? Explain.
A fast food chain sells its burgers alone or as part of a "value meal" which includes fries and a drink. They know some customers are health conscious.
A fair coin was flipped three times and landed heads three times. What is the probability of a head on the next toss?
The Problem Solving Inventory (PSI) has a normal distribution with mean = 90 and standard deviation = 15. A researcher suspects that the mean for female students is higher than 90.
Determine a 95% confidence interval for proportion of all voters in favour of candidate.
The mean number of cups was 5 with a standard deviation of 1.5 cups. The distribution was normal. What proportion of students drank 7 or more cups of coffee per day?
Given the following sample information, test the hypothesis that the treatment means are equal at the .05 significance level.
Determine the range and standard deviation of the times.
The average score for the sample is M = 76. For the general population of college students, writing scores form a normal distribution with a mean of µ = 70.
Below are the sample times in minutes. At the .05 significance level, can we conclude that there is a difference in their mean times?
An experiment is designed using three levels of ground clutter and two filter types. The experiment is performed by randomly selecting a treatment combination
Show that someone will think that the claim has more than a fifty percent chance of being true if p > q / (1 + q). Explain.
Part 1: Define and explain historical research. Explain a situation in which historical research would be appropriate. Part 2: Explain the difference between external and internal evidence and give examples of each.
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