{"product_id":"basic-statistical-analysis-9781292026824","title":"Basic Statistical Analysis","description":"\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003ePreface\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eI. DESCRIPTIVE STATISTICS\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Introduction to Statistics\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStumbling Blocks to Statistics\u003c\/p\u003e \u003cp\u003eA Brief Look at the History of Statistics\u003c\/p\u003e \u003cp\u003eGertrude Cox (1900-1978)\u003c\/p\u003e \u003cp\u003eBenefits of a Course in Statistics\u003c\/p\u003e \u003cp\u003eGeneral\u003c\/p\u003e \u003cp\u003eFields of Statistics\u003c\/p\u003e \u003cp\u003eSummary\u003c\/p\u003e \u003cp\u003eKey Terms and Names\u003c\/p\u003e \u003cp\u003eProblems\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Percentages, Graphs and Measures of Central Tendency\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePercentage Changes-Comparing Increases with Decreases\u003c\/p\u003e \u003cp\u003eGraphs\u003c\/p\u003e \u003cp\u003eMeasures of Central Tendency\u003c\/p\u003e \u003cp\u003eAppropriate Use of the Mean\u003c\/p\u003e \u003cp\u003ethe Median and the Mode\u003c\/p\u003e \u003cp\u003eSummary\u003c\/p\u003e \u003cp\u003eKey Terms\u003c\/p\u003e \u003cp\u003eProblems\u003c\/p\u003e \u003cp\u003eComputer Problems\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Variability\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMeasures of Variability\u003c\/p\u003e \u003cp\u003eGraphs and Variability\u003c\/p\u003e \u003cp\u003eQuestionnaire Percentages\u003c\/p\u003e \u003cp\u003eKey Terms\u003c\/p\u003e \u003cp\u003eComputer Problems\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. The Normal Curve and z Scores\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Normal Curve\u003c\/p\u003e \u003cp\u003ez Scores\u003c\/p\u003e \u003cp\u003eCarl Friedrich Gauss (1777-1855)\u003c\/p\u003e \u003cp\u003eTranslating Raw Scores into z Scores\u003c\/p\u003e \u003cp\u003ez Score Translation in Practice\u003c\/p\u003e \u003cp\u003eFun with your Calculator\u003c\/p\u003e \u003cp\u003eSummary\u003c\/p\u003e \u003cp\u003eKey Terms and Names\u003c\/p\u003e \u003cp\u003eProblems\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. z Scores Revisited: T Scores and Other Normal Curve Transformations\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOther Applications of the z Score\u003c\/p\u003e \u003cp\u003eThe Percentile Table\u003c\/p\u003e \u003cp\u003eT Scores\u003c\/p\u003e \u003cp\u003eNormal Cure Equivalents\u003c\/p\u003e \u003cp\u003eStanines\u003c\/p\u003e \u003cp\u003eGrade-Equivalent Scores: A Note of Caution\u003c\/p\u003e \u003cp\u003eThe Importance of the z Score\u003c\/p\u003e \u003cp\u003eSummary\u003c\/p\u003e \u003cp\u003eKey Terms\u003c\/p\u003e \u003cp\u003eProblems\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Probability\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Definition of Probability\u003c\/p\u003e \u003cp\u003eBlaise Pascal (1623-1662)\u003c\/p\u003e \u003cp\u003eProbability and Percentage Areas of the Normal Curve\u003c\/p\u003e \u003cp\u003eCombining Probabilities for Independent Events\u003c\/p\u003e \u003cp\u003eA Reminder about Logic\u003c\/p\u003e \u003cp\u003eSummary\u003c\/p\u003e \u003cp\u003eKey Terms\u003c\/p\u003e \u003cp\u003eProblems\u003c\/p\u003e \u003cp\u003e\u003cb\u003eII. INFERENTIAL STATISTICS\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Statistics and Parameters\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeneralizing from the Few to the Many\u003c\/p\u003e \u003cp\u003eKey Concepts of Inferential Statistics\u003c\/p\u003e \u003cp\u003eTechniques of Sampling\u003c\/p\u003e \u003cp\u003eSampling Distributions\u003c\/p\u003e \u003cp\u003eInfinite versus Finite Sampling\u003c\/p\u003e \u003cp\u003eGalton and the Concept of Error\u003c\/p\u003e \u003cp\u003eBack to z\u003c\/p\u003e \u003cp\u003eSome Words of Encouragement\u003c\/p\u003e \u003cp\u003eSummary\u003c\/p\u003e \u003cp\u003eKey Terms\u003c\/p\u003e \u003cp\u003eProblems\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Parameter Estimates and Hypothesis Testing\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEstimating the Population Standard Deviation\u003c\/p\u003e \u003cp\u003eEstimating the Standard Error of the Mean\u003c\/p\u003e \u003cp\u003eEstimating the Population of the Mean\u003cb\u003e: \u003c\/b\u003eInterval Estimates and Hypothesis Testing\u003c\/p\u003e \u003cp\u003eThe t Ratio\u003c\/p\u003e \u003cp\u003eThe Type 1 Error\u003c\/p\u003e \u003cp\u003eAlpha Levels\u003c\/p\u003e \u003cp\u003eEffect Size\u003c\/p\u003e \u003cp\u003eInterval  Estimates\u003cb\u003e: \u003c\/b\u003eNo Hypothesis Test Needed\u003c\/p\u003e \u003cp\u003eSummary\u003c\/p\u003e \u003cp\u003eKey Terms\u003c\/p\u003e \u003cp\u003eProblems\u003c\/p\u003e \u003cp\u003eComputer Problems\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. The Fundamentals of Research Methodology\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResearch Strategies\u003c\/p\u003e \u003cp\u003eIndependent and Dependent Variables\u003c\/p\u003e \u003cp\u003eThe Cause-and-Effect Trap\u003c\/p\u003e \u003cp\u003eTheory of Measurement\u003c\/p\u003e \u003cp\u003eResearch: Experimental versus Post Facto\u003c\/p\u003e \u003cp\u003eThe Experimental Method: The Case of Cause and Effect\u003c\/p\u003e \u003cp\u003eCreating Equivalent Groups\u003cb\u003e: \u003c\/b\u003eThe True Experiment\u003c\/p\u003e \u003cp\u003eDesigning the True Experiment\u003c\/p\u003e \u003cp\u003eThe Hawthorne Effect\u003c\/p\u003e \u003cp\u003eRepeated-Measures Designs with Separate Control Groups\u003c\/p\u003e \u003cp\u003eRequirements for the True Experiment\u003c\/p\u003e \u003cp\u003ePost Facto-Research\u003c\/p\u003e \u003cp\u003eCombination Research\u003c\/p\u003e \u003cp\u003eResearch Errors\u003c\/p\u003e \u003cp\u003eExperimental Errors\u003c\/p\u003e \u003cp\u003eMeta-Analysis\u003c\/p\u003e \u003cp\u003eMethodology as a Basis for More Sophisticated Techniques\u003c\/p\u003e \u003cp\u003eSummary\u003c\/p\u003e \u003cp\u003eKey Terms\u003c\/p\u003e \u003cp\u003eProblems\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. The Hypothesis of Difference\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSampling Distribution of Differences\u003c\/p\u003e \u003cp\u003eEstimated Standard Error of Difference\u003c\/p\u003e \u003cp\u003eTwo-Sample t Test for Independent Samples\u003c\/p\u003e \u003cp\u003eSignificance\u003c\/p\u003e \u003cp\u003eWilliam Sealy Gossett (1876-1937)\u003c\/p\u003e \u003cp\u003eTwo-Tailed t Table\u003c\/p\u003e \u003cp\u003eAlpha Levels and Confidence Level\u003c\/p\u003e \u003cp\u003eThe Minimum Difference\u003c\/p\u003e \u003cp\u003eOutliner\u003c\/p\u003e \u003cp\u003eOne-Tail t Test\u003c\/p\u003e \u003cp\u003eImportance of Having at Least Two Samples\u003c\/p\u003e \u003cp\u003ePower\u003c\/p\u003e \u003cp\u003eEffect Size\u003c\/p\u003e \u003cp\u003eSummary\u003c\/p\u003e \u003cp\u003eKey Terms\u003c\/p\u003e \u003cp\u003eProblems\u003c\/p\u003e \u003cp\u003eComputer Problems\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. The Hypothesis of Association: Correlation\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCause and Effect\u003c\/p\u003e \u003cp\u003eThe Pearson r\u003c\/p\u003e \u003cp\u003eInte\u003c\/p\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":51926171124055,"sku":"9781292026824","price":63.64,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781292026824.jpg?v=1760622494","url":"https:\/\/bookcurl.com\/products\/basic-statistical-analysis-9781292026824","provider":"Book Curl","version":"1.0","type":"link"}