Handling missing data during data analysis

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Why might a data set suffer from missing data? Explain the techniques researchers may use to handle missing data during data analysis.

What are the four rules that guide the coding and categorization of a data set? Explain why each one is important for researchers.

If a researcher must use a non-probability sample because a list is not available, should convenience sampling or judgment sampling be used? Explain

What is the difference between a probability sample and a non-probability sample? Which one is preferred by researchers? Explain

What is the difference between a Type I error and a Type II error? How are the two errors related?

Define the null and alternative hypotheses. Discuss the relationship between the two hypotheses.

What advantages do stem-and-leaf displays provide over histograms?

What can a researcher determine through the use of cross-tabulations?

Provide some advice for a person writing a short research report

Define the null and alternative hypotheses. Discuss the relationship between the two hypotheses.

What are the assumptions made by the regression model in estimating the parameters and in significance testing?

What can a researcher determine through the use of cross-tabulations?

Reference no: EM1337582

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