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What are confounds? Give an example of a design that has three confounds. Describe three ways to alter the design to address these confounds and explain the advantages and disadvantages of each.
What does "cause" mean and why is it an important concept in research? How are correlation and causation related?
You are a researcher interested in addressing the question: does smiling cause mood to rise (i.e., become more positive)? Sketch between-participants, within-participants, and matched-participants designs that address this question and discuss the advantages and disadvantages of each to yielding data that help you answer the question. Describe and discuss each design in 4-5 sentences.
If computing a causal linear regression model of y = a + bX and the resultant r2 is very near zero, then one would be able to conclude that:
The mean of a normal probability distribution is 60; the standard deviation is 5.
Find a 99% confidence interval estimate of the proportion of people who say that they voted.
To guarantee that cans of soda are properly filled, some cans are sampled and the amounts measured. The overall average for the samples is 12 ounces.
Stats Questions Set. Which of the following statements correctly compares the t -statistic to the z -score when creating a confidence interval?
Crete a 90% confidence interval for mean Secchi dish measurement.
Below you are given a partial computer output based on a sample of 16 observations.
The accompanying two histograms represent the distribution of acceptance rates (percent accepted) among 25 business schools in 1995. The histograms use different class intervals, but are based on the same data. In each class interval, the left endpoi..
A researcher is interested in whether social assertiveness might be influenced by training procedures. Two groups of college sophomores are randomly selected. Group A subjects are assigned to the "training sessions" and Group B subjects do not rec..
The average stock price for companies making up the S&P 500 is $40, and the standard deviation is $10. Assume the stock prices are normally distributed. What is the probability a company will have a stock price less than $33.
How large a sample would be necessary to estimate the population proportion with a margin of error of 0.05 at 95% confidence?
a) 95% of confidence intervals generated will include the sample mean X. b) 5% of the confidence intervals generated will include the true mean μ
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