{"id":703,"date":"2021-08-26T01:58:19","date_gmt":"2021-08-26T05:58:19","guid":{"rendered":"https:\/\/pressbooks.bccampus.ca\/statspsych\/?post_type=front-matter&#038;p=703"},"modified":"2021-09-01T11:08:41","modified_gmt":"2021-09-01T15:08:41","slug":"table-of-contents","status":"publish","type":"front-matter","link":"https:\/\/pressbooks.bccampus.ca\/statspsych\/front-matter\/table-of-contents\/","title":{"raw":"Table of Contents and Learning Objectives","rendered":"Table of Contents and Learning Objectives"},"content":{"raw":"<h1>Table of Contents<\/h1>\r\n<ul>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/\" target=\"_blank\" rel=\"noopener\">Title Page<\/a> with license information<\/li>\r\n \t<li id=\"toc-front-matter-4\" class=\"toc__front-matter introduction toc__front-matter--empty\">\r\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/front-matter\/introduction\/\">Introduction<\/a><\/p>\r\n<\/li>\r\n \t<li id=\"toc-front-matter-703\" class=\"toc__front-matter list-of-tables toc__front-matter--empty toc__selected\">\r\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/front-matter\/table-of-contents\/\">Table of Contents and Learning Objectives<\/a><\/p>\r\n<\/li>\r\n<\/ul>\r\n<strong>Main Body<\/strong>\r\n<ol>\r\n \t<li>Chapter 1 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-1\/\">Why We Need Statistics and Displaying Data Using Tables and Graphs<\/a><\/li>\r\n \t<li>Chapter 2 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-2\/\">Central Tendency and Variability<\/a><\/li>\r\n \t<li>Chapter 3 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-3\/\">Z-scores and the Normal Curve<\/a><\/li>\r\n \t<li>Chapter 4 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-4\/\">Probability, Inferential Statistics, and Hypothesis Testing<\/a><\/li>\r\n \t<li>Chapter 5 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-5\/\">Single Sample Z-test and t-test<\/a><\/li>\r\n \t<li>Chapter 6 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-6\/\">Dependent t-test<\/a><\/li>\r\n \t<li>Chapter 7 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-7\/\">Independent Means t-test<\/a><\/li>\r\n \t<li>Chapter 8 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-8\/\">Analysis of Variance, Planned Contrasts and Posthoc Tests<\/a><\/li>\r\n \t<li>Chapter 9\u00a0<a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-9\/\">Factorial ANOVA and Interaction Effects<\/a><\/li>\r\n \t<li>Chapter 10 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-10\/\">Correlation and Regression<\/a><\/li>\r\n \t<li>Chapter 11 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-11\/\">Beyond Hypothesis Testing<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/afterword\/\">Afterword<\/a><\/li>\r\n<\/ol>\r\n<strong>Homework Assignments<\/strong>\r\n<ul>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-1\/\">Homework Chapter 1<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-2\/\">Homework Chapter 2<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-3\/\">Homework Chapter 3<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-4\/\">Homework Chapter 4<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-5\/\">Homework Chapter 5<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-6\/\">Homework Chapter 6<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-7\/\">Homework Chapter 7<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-8\/\">Homework Chapter 8<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-8\/\">Homework Chapter 9<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-10\/\">Homework Chapter 10<\/a><\/li>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-10\/\">Homework Chapter 11<\/a><\/li>\r\n<\/ul>\r\n<strong>Appendices<\/strong>\r\n<ul>\r\n \t<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/back-matter\/key-terms-list\/\">Key Terms List<\/a><\/li>\r\n \t<li id=\"toc-back-matter-218\" class=\"toc__back-matter miscellaneous toc__back-matter--empty\">\r\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/back-matter\/normal-curve-z-area-tables\/\">Normal Curve (Z) Area Tables<\/a><\/p>\r\n<\/li>\r\n \t<li id=\"toc-back-matter-303\" class=\"toc__back-matter miscellaneous toc__back-matter--empty\">\r\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/back-matter\/t-distribution-tables\/\">T distribution tables<\/a><\/p>\r\n<\/li>\r\n \t<li id=\"toc-back-matter-483\" class=\"toc__back-matter miscellaneous toc__back-matter--empty\">\r\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/back-matter\/f-tables\/\">F distribution tables<\/a><\/p>\r\n<\/li>\r\n \t<li id=\"toc-back-matter-591\" class=\"toc__back-matter miscellaneous toc__back-matter--empty\">\r\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/back-matter\/acknowledgements\/\">Acknowledgements<\/a><\/p>\r\n<\/li>\r\n<\/ul>\r\n<h1><strong>Learning Objectives<\/strong><\/h1>\r\nChapter 1 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-1\/\">Why We Need Statistics and Displaying Data Using Tables and Graphs<\/a>\r\n<ul>\r\n \t<li>articulate the purpose of a course introducing statistical principles and techniques<\/li>\r\n \t<li>supply examples of situations in which data analysis techniques may be necessary<\/li>\r\n \t<li>define descriptive and inferential statistics, variable, value, and score<\/li>\r\n \t<li>distinguish between two levels of measurement and identify the appropriate techniques for summarizing different types of data<\/li>\r\n \t<li>generate frequency tables<\/li>\r\n \t<li>graph a dataset using a histogram, bar graph, or pie chart<\/li>\r\n \t<li>describe a distribution shape in terms of peaks and symmetry<\/li>\r\n<\/ul>\r\nChapter 2 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-2\/\">Central Tendency and Variability<\/a>\r\n<ul>\r\n \t<li>define and determine mean, median, and mode, as three options to determine central tendency<\/li>\r\n \t<li>distinguish among the measures of central tendency and the circumstances under which each is suitable<\/li>\r\n \t<li>define and determine variance and standard deviation, as two options to determine variability<\/li>\r\n \t<li>interpret standard deviation<\/li>\r\n<\/ul>\r\nChapter 3 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-3\/\">Z-scores and the Normal Curve<\/a>\r\n<ul>\r\n \t<li>transform scores in any numeric dataset, using any scale, into the standard metric of Z-scores<\/li>\r\n \t<li>interpret Z-scores and apply them for comparison of scores within and between datasets, including data measured on different scales<\/li>\r\n \t<li>define and characterize the normal curve model<\/li>\r\n \t<li>associate Z-scores with areas under the normal curve<\/li>\r\n \t<li>define percentiles and determine Z-scores and raw scores that form the border of percentiles using the normal curve model<\/li>\r\n<\/ul>\r\nChapter 4 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-4\/\">Probability, Inferential Statistics, and Hypothesis Testing<\/a>\r\n<ul>\r\n \t<li>determine simple probabilities<\/li>\r\n \t<li>appreciate the importance of probability and ubiquity of human failings in the realm of probability<\/li>\r\n \t<li>connect probability to percentiles, areas under the normal curve, and the logic of inferential statistics such as hypothesis testing<\/li>\r\n \t<li>define and distinguish between population and sample<\/li>\r\n \t<li>articulate the central tendency theorem and describe its implications for the normality assumption in inferential statistics<\/li>\r\n \t<li>outline and apply the steps of hypothesis testing<\/li>\r\n<\/ul>\r\nChapter 5 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-5\/\">Single Sample Z-test and t-test<\/a>\r\n<ul>\r\n \t<li>define and identify Type I and Type II errors<\/li>\r\n \t<li>define and characterize the distribution of means as compared to the distribution of individuals<\/li>\r\n \t<li>determine the mean and standard deviation of the distribution of means based on the characteristics of the distribution of individuals<\/li>\r\n \t<li>conduct a hypothesis test using the single sample Z-test<\/li>\r\n \t<li>define, determine, and interpret a p-value<\/li>\r\n \t<li>articulate a conclusion in plain language from an test of statistical significance<\/li>\r\n \t<li>define and determine degrees of freedom<\/li>\r\n \t<li>articulate the logic behind the sample size correction for sample-based estimates of variance<\/li>\r\n \t<li>describe the difference between t-distribution shapes with varying degrees of freedom<\/li>\r\n \t<li>conduct a hypothesis test using the single sample t-test<\/li>\r\n \t<li>identify scenarios in which a single sample Z-test or t-test is appropriate<\/li>\r\n<\/ul>\r\nChapter 6 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-6\/\">Dependent t-test<\/a>\r\n<ul>\r\n \t<li>identify and describe repeated measures and matched pairs research designs<\/li>\r\n \t<li>conduct a hypothesis test using the dependent means t-test<\/li>\r\n \t<li>identify scenarios in which a dependent means t-test is appropriate<\/li>\r\n<\/ul>\r\nChapter 7 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-7\/\">Independent Means t-test<\/a>\r\n<ul>\r\n \t<li>identify and describe classical experimental research designs<\/li>\r\n \t<li>identify the (normal curve and homoscedasticity) assumptions behind the independent means t-test<\/li>\r\n \t<li>conduct a hypothesis test using the independent means t-test<\/li>\r\n \t<li>identify scenarios in which an independent means t-test is appropriate<\/li>\r\n<\/ul>\r\nChapter 8 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-8\/\">Analysis of Variance, Planned Contrasts and Posthoc Tests<\/a>\r\n<ul>\r\n \t<li>define partitioning of variance and apply the concept to one-way Analysis of Variance<\/li>\r\n \t<li>define and identify factors and levels in research designs<\/li>\r\n \t<li>use graphing techniques to visualize data from a research design using more than 2 levels in a factor<\/li>\r\n \t<li>conduct a hypothesis test using one-way Analysis of Variance<\/li>\r\n \t<li>articulate reasons for conducting planned contrasts or post-hoc tests following ANOVA<\/li>\r\n \t<li>define experimentwise alpha level and articulate ways in which Bonferroni and Scheff\u00e9 corrections address inflated risk of Type I error<\/li>\r\n \t<li>outline the procedure for conducting planned contrasts with Bonferroni correction<\/li>\r\n \t<li>outline the procedure for conducting posthoc tests with Scheff\u00e9 correction<\/li>\r\n \t<li>identify scenarios in which a one-way ANOVA is appropriate<\/li>\r\n<\/ul>\r\nChapter 9\u00a0<a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-9\/\">Factorial ANOVA and Interaction Effects<\/a>\r\n<ul>\r\n \t<li>apply\u00a0 the concept of partitioning of variance to two-way Analysis of Variance<\/li>\r\n \t<li>describe factorial analysis and articulate its benefits and pitfalls<\/li>\r\n \t<li>describe research designs using ___ X ___ factor and level summaries<\/li>\r\n \t<li>conduct a hypothesis test using two-way Analysis of Variance<\/li>\r\n \t<li>identify scenarios in which a two-way ANOVA is appropriate<\/li>\r\n \t<li>identify and interpret main effects<\/li>\r\n \t<li>identify and interpret interactions<\/li>\r\n<\/ul>\r\nChapter 10 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-10\/\">Correlation and Regression<\/a>\r\n<ul>\r\n \t<li>define correlation and regression<\/li>\r\n \t<li>detect and describe linear correlation patterns using scatterplots<\/li>\r\n \t<li>define partitioning of covariance<\/li>\r\n \t<li>conduct a hypothesis test using correlation<\/li>\r\n \t<li>find the proportion of variance explained by a correlation<\/li>\r\n \t<li>identify scenarios in which a correlation is appropriate<\/li>\r\n \t<li>create a predictive model using a simple regression line<\/li>\r\n \t<li>articulate limits to accuracy and usefulness of regression models<\/li>\r\n<\/ul>\r\nChapter 11 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-11\/\">Beyond Hypothesis Testing<\/a>\r\n<ul>\r\n \t<li>define effect size, power, and confidence intervals<\/li>\r\n \t<li>articulate the importance of effect size and power analyses<\/li>\r\n \t<li>find and interpret Cohen's d for a single-sample Z-test scenario<\/li>\r\n \t<li>identify the two major determinants of statistical power<\/li>\r\n \t<li>estimate and interpret power for a single-sample Z-test scenario<\/li>\r\n \t<li>construct confidence intervals for a single-sample Z-test scenario<\/li>\r\n \t<li>articulate similarities and differences between hypothesis testing and confidence interval procedures<\/li>\r\n<\/ul>","rendered":"<h1>Table of Contents<\/h1>\n<ul>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/\" target=\"_blank\" rel=\"noopener\">Title Page<\/a> with license information<\/li>\n<li id=\"toc-front-matter-4\" class=\"toc__front-matter introduction toc__front-matter--empty\">\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/front-matter\/introduction\/\">Introduction<\/a><\/p>\n<\/li>\n<li id=\"toc-front-matter-703\" class=\"toc__front-matter list-of-tables toc__front-matter--empty toc__selected\">\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/front-matter\/table-of-contents\/\">Table of Contents and Learning Objectives<\/a><\/p>\n<\/li>\n<\/ul>\n<p><strong>Main Body<\/strong><\/p>\n<ol>\n<li>Chapter 1 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-1\/\">Why We Need Statistics and Displaying Data Using Tables and Graphs<\/a><\/li>\n<li>Chapter 2 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-2\/\">Central Tendency and Variability<\/a><\/li>\n<li>Chapter 3 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-3\/\">Z-scores and the Normal Curve<\/a><\/li>\n<li>Chapter 4 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-4\/\">Probability, Inferential Statistics, and Hypothesis Testing<\/a><\/li>\n<li>Chapter 5 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-5\/\">Single Sample Z-test and t-test<\/a><\/li>\n<li>Chapter 6 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-6\/\">Dependent t-test<\/a><\/li>\n<li>Chapter 7 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-7\/\">Independent Means t-test<\/a><\/li>\n<li>Chapter 8 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-8\/\">Analysis of Variance, Planned Contrasts and Posthoc Tests<\/a><\/li>\n<li>Chapter 9\u00a0<a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-9\/\">Factorial ANOVA and Interaction Effects<\/a><\/li>\n<li>Chapter 10 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-10\/\">Correlation and Regression<\/a><\/li>\n<li>Chapter 11 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-11\/\">Beyond Hypothesis Testing<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/afterword\/\">Afterword<\/a><\/li>\n<\/ol>\n<p><strong>Homework Assignments<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-1\/\">Homework Chapter 1<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-2\/\">Homework Chapter 2<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-3\/\">Homework Chapter 3<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-4\/\">Homework Chapter 4<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-5\/\">Homework Chapter 5<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-6\/\">Homework Chapter 6<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-7\/\">Homework Chapter 7<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-8\/\">Homework Chapter 8<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-8\/\">Homework Chapter 9<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-10\/\">Homework Chapter 10<\/a><\/li>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-10\/\">Homework Chapter 11<\/a><\/li>\n<\/ul>\n<p><strong>Appendices<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/back-matter\/key-terms-list\/\">Key Terms List<\/a><\/li>\n<li id=\"toc-back-matter-218\" class=\"toc__back-matter miscellaneous toc__back-matter--empty\">\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/back-matter\/normal-curve-z-area-tables\/\">Normal Curve (Z) Area Tables<\/a><\/p>\n<\/li>\n<li id=\"toc-back-matter-303\" class=\"toc__back-matter miscellaneous toc__back-matter--empty\">\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/back-matter\/t-distribution-tables\/\">T distribution tables<\/a><\/p>\n<\/li>\n<li id=\"toc-back-matter-483\" class=\"toc__back-matter miscellaneous toc__back-matter--empty\">\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/back-matter\/f-tables\/\">F distribution tables<\/a><\/p>\n<\/li>\n<li id=\"toc-back-matter-591\" class=\"toc__back-matter miscellaneous toc__back-matter--empty\">\n<p class=\"toc__title\"><a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/back-matter\/acknowledgements\/\">Acknowledgements<\/a><\/p>\n<\/li>\n<\/ul>\n<h1><strong>Learning Objectives<\/strong><\/h1>\n<p>Chapter 1 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-1\/\">Why We Need Statistics and Displaying Data Using Tables and Graphs<\/a><\/p>\n<ul>\n<li>articulate the purpose of a course introducing statistical principles and techniques<\/li>\n<li>supply examples of situations in which data analysis techniques may be necessary<\/li>\n<li>define descriptive and inferential statistics, variable, value, and score<\/li>\n<li>distinguish between two levels of measurement and identify the appropriate techniques for summarizing different types of data<\/li>\n<li>generate frequency tables<\/li>\n<li>graph a dataset using a histogram, bar graph, or pie chart<\/li>\n<li>describe a distribution shape in terms of peaks and symmetry<\/li>\n<\/ul>\n<p>Chapter 2 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-2\/\">Central Tendency and Variability<\/a><\/p>\n<ul>\n<li>define and determine mean, median, and mode, as three options to determine central tendency<\/li>\n<li>distinguish among the measures of central tendency and the circumstances under which each is suitable<\/li>\n<li>define and determine variance and standard deviation, as two options to determine variability<\/li>\n<li>interpret standard deviation<\/li>\n<\/ul>\n<p>Chapter 3 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-3\/\">Z-scores and the Normal Curve<\/a><\/p>\n<ul>\n<li>transform scores in any numeric dataset, using any scale, into the standard metric of Z-scores<\/li>\n<li>interpret Z-scores and apply them for comparison of scores within and between datasets, including data measured on different scales<\/li>\n<li>define and characterize the normal curve model<\/li>\n<li>associate Z-scores with areas under the normal curve<\/li>\n<li>define percentiles and determine Z-scores and raw scores that form the border of percentiles using the normal curve model<\/li>\n<\/ul>\n<p>Chapter 4 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-4\/\">Probability, Inferential Statistics, and Hypothesis Testing<\/a><\/p>\n<ul>\n<li>determine simple probabilities<\/li>\n<li>appreciate the importance of probability and ubiquity of human failings in the realm of probability<\/li>\n<li>connect probability to percentiles, areas under the normal curve, and the logic of inferential statistics such as hypothesis testing<\/li>\n<li>define and distinguish between population and sample<\/li>\n<li>articulate the central tendency theorem and describe its implications for the normality assumption in inferential statistics<\/li>\n<li>outline and apply the steps of hypothesis testing<\/li>\n<\/ul>\n<p>Chapter 5 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-5\/\">Single Sample Z-test and t-test<\/a><\/p>\n<ul>\n<li>define and identify Type I and Type II errors<\/li>\n<li>define and characterize the distribution of means as compared to the distribution of individuals<\/li>\n<li>determine the mean and standard deviation of the distribution of means based on the characteristics of the distribution of individuals<\/li>\n<li>conduct a hypothesis test using the single sample Z-test<\/li>\n<li>define, determine, and interpret a p-value<\/li>\n<li>articulate a conclusion in plain language from an test of statistical significance<\/li>\n<li>define and determine degrees of freedom<\/li>\n<li>articulate the logic behind the sample size correction for sample-based estimates of variance<\/li>\n<li>describe the difference between t-distribution shapes with varying degrees of freedom<\/li>\n<li>conduct a hypothesis test using the single sample t-test<\/li>\n<li>identify scenarios in which a single sample Z-test or t-test is appropriate<\/li>\n<\/ul>\n<p>Chapter 6 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-6\/\">Dependent t-test<\/a><\/p>\n<ul>\n<li>identify and describe repeated measures and matched pairs research designs<\/li>\n<li>conduct a hypothesis test using the dependent means t-test<\/li>\n<li>identify scenarios in which a dependent means t-test is appropriate<\/li>\n<\/ul>\n<p>Chapter 7 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-7\/\">Independent Means t-test<\/a><\/p>\n<ul>\n<li>identify and describe classical experimental research designs<\/li>\n<li>identify the (normal curve and homoscedasticity) assumptions behind the independent means t-test<\/li>\n<li>conduct a hypothesis test using the independent means t-test<\/li>\n<li>identify scenarios in which an independent means t-test is appropriate<\/li>\n<\/ul>\n<p>Chapter 8 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-8\/\">Analysis of Variance, Planned Contrasts and Posthoc Tests<\/a><\/p>\n<ul>\n<li>define partitioning of variance and apply the concept to one-way Analysis of Variance<\/li>\n<li>define and identify factors and levels in research designs<\/li>\n<li>use graphing techniques to visualize data from a research design using more than 2 levels in a factor<\/li>\n<li>conduct a hypothesis test using one-way Analysis of Variance<\/li>\n<li>articulate reasons for conducting planned contrasts or post-hoc tests following ANOVA<\/li>\n<li>define experimentwise alpha level and articulate ways in which Bonferroni and Scheff\u00e9 corrections address inflated risk of Type I error<\/li>\n<li>outline the procedure for conducting planned contrasts with Bonferroni correction<\/li>\n<li>outline the procedure for conducting posthoc tests with Scheff\u00e9 correction<\/li>\n<li>identify scenarios in which a one-way ANOVA is appropriate<\/li>\n<\/ul>\n<p>Chapter 9\u00a0<a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-9\/\">Factorial ANOVA and Interaction Effects<\/a><\/p>\n<ul>\n<li>apply\u00a0 the concept of partitioning of variance to two-way Analysis of Variance<\/li>\n<li>describe factorial analysis and articulate its benefits and pitfalls<\/li>\n<li>describe research designs using ___ X ___ factor and level summaries<\/li>\n<li>conduct a hypothesis test using two-way Analysis of Variance<\/li>\n<li>identify scenarios in which a two-way ANOVA is appropriate<\/li>\n<li>identify and interpret main effects<\/li>\n<li>identify and interpret interactions<\/li>\n<\/ul>\n<p>Chapter 10 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-10\/\">Correlation and Regression<\/a><\/p>\n<ul>\n<li>define correlation and regression<\/li>\n<li>detect and describe linear correlation patterns using scatterplots<\/li>\n<li>define partitioning of covariance<\/li>\n<li>conduct a hypothesis test using correlation<\/li>\n<li>find the proportion of variance explained by a correlation<\/li>\n<li>identify scenarios in which a correlation is appropriate<\/li>\n<li>create a predictive model using a simple regression line<\/li>\n<li>articulate limits to accuracy and usefulness of regression models<\/li>\n<\/ul>\n<p>Chapter 11 <a href=\"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/chapter-11\/\">Beyond Hypothesis Testing<\/a><\/p>\n<ul>\n<li>define effect size, power, and confidence intervals<\/li>\n<li>articulate the importance of effect size and power analyses<\/li>\n<li>find and interpret Cohen&#8217;s d for a single-sample Z-test scenario<\/li>\n<li>identify the two major determinants of statistical power<\/li>\n<li>estimate and interpret power for a single-sample Z-test scenario<\/li>\n<li>construct confidence intervals for a single-sample Z-test scenario<\/li>\n<li>articulate similarities and differences between hypothesis testing and confidence interval procedures<\/li>\n<\/ul>\n","protected":false},"author":1394,"menu_order":1,"template":"","meta":{"pb_show_title":"on","pb_short_title":"Table of Contents and Learning 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