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1. How does data screening differ from data cleaning?
2. What part of data screening checks for the actual number of responses you have for each variable?
3. How is data screening related to the assumptions of the statistic you will choose to analyze your data?
4. Why are descriptive statistics a part of data screening?
5. What kinds of plots are useful in data screening?
6. What can you do if your data do not meet the assumptions of your statistic?
Determine what analysis would you do on each problem (ie, one-sample z-test, one-sample t-test, proportion test, two-sample independent t-test, or paired test)?
Calculate separately for 1983 and 1987, the 95% confidence interval for the proportion of students who had driven an automobile while drinking.
The first unit produced after the calibration effort to be found to be defective. What is the probability that machine is in adjustment?
Dertermine the probability that a male is a Major or a Colonel?
Make an interval estimate the population means score for the daycare children so that you are 95% confident that the true mean is in your interval.
Assume that you choose a 50 families sample. Which is the form expected from the distribution of the average or median of the sample?
Draw a column chart from grade book. Use column illustrating students' names; select one of the tests to plot.
What is the level of measurement for the variable, "political ideology" measured as "Very Conservative", "Conservative","Moderate", "Liberal" and "Very Liberal".
A company makes camshafts. The camshaft lengths need to be within a certain tolerance or they will not fit. They have produced x bar and s charts
Assume that the distribution of heights of adults American normally distributed, with mean 69 inches and standard deviation 2.8 inches.
Compute the score based on their appropriate class means and standard deviations:
Find out equation of the line of best fit. Find out r - Is there a strong relationship?
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