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In an essay of 250-500 words, describe data screening. Address the following items:
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?
Use a calculator or appropriate computer software to verify that, for the preceding data, xbar = 5.1.
Calculate the appropriate test statistic to test the hypotheses related to the concern and test at 5% and 1%.
In exercise identify (a) sample and (b) population. Also, find whether sample is likely to be representative of population.
a random sample of 100 doctors was selected. Suppose you reject the null hypothesis. What conclusion can you draw?
Find the value of q-hat from proportion and degrees of freedom used to find the t-score.
Assume the population is normally distributed, the confidence level is 95%, n = 12, and σ is unknown.
Calculate the mean and standard deviation for this set of data. Convert your answer back to dollars and cents and give the correlation value between number of beers consumed and BAC?
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He randomly samples 45 oil wells throughout the United States and determines the mean output to be 10.7 barrels per day with a standard deviation of 1.3 barrels. Test the researcher's claim at the .025 level of significance.
Perform pair wise comparisons of the treatment means by computing a Tukey simultaneous 95 percent confidence interval for each of the pair wise differences μ1 - μ2, μ2 - μ3, and μ2 - μ3. Which type of program content results in the worst mean bran..
Calculate the difference in the average "clutter" between network and TV.
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