SAMPLES AND POPULATIONS

Part1- Due Thursday 

Respond to the following in a minimum of 175 words:

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Read the following scenario and explain what power issues may arise. What factors influence statistical power?

A researcher is exploring differences between men and women on ‘number of different recreational drugs used.’ The researcher collects data on a sample of 50 men and 50 women between the ages of 18-25. Each participant is asked ‘how many different recreational drugs have you tried in your life?’ The IV is gender (male/female) and the DV is ‘number of reported drugs.’

Part2-PLEASE SEE ATTACHMENT

PART3-PLEASE SEE ATTACHMENT…THIS IS A GROUP ASSIGNMENT I ONLY HAVE TO COMPLETE A PART OF THE TABLE. I WILL POST MY PART ON TUESDAY

REFERENCE

CHAPTER 13

LEARNING OBJECTIVES

  • Explain how researchers use inferential statistics to evaluate sample data.
  • Distinguish between the null hypothesis and the research hypothesis.
  • Discuss probability in statistical inference, including the meaning of statistical significance.
  • Describe the t test and explain the difference between one-tailed and two-tailed tests.
  • Describe the F test, including systematic variance and error variance.
  • Describe what a confidence interval tells you about your data.
  • Distinguish between Type I and Type II errors.
  • Discuss the factors that influence the probability of a Type II error.
  • Discuss the reasons a researcher may obtain nonsignificant results.
  • Define power of a statistical test.
  • Describe the criteria for selecting an appropriate statistical test.

Page 267IN THE PREVIOUS CHAPTER, WE EXAMINED WAYS OF DESCRIBING THE RESULTS OF A STUDY USING DESCRIPTIVE STATISTICS AND A VARIETY OF GRAPHING TECHNIQUES. In addition to descriptive statistics, researchers use inferential statistics to draw more general conclusions about their data. In short, inferential statistics allow researchers to (a) assess just how confident they are that their results reflect what is true in the larger population and (b) assess the likelihood that their findings would still occur if their study was repeated over and over. In this chapter, we examine methods for doing so.

SAMPLES AND POPULATIONS

 

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