{"id":258,"date":"2009-01-22T15:54:38","date_gmt":"2009-01-22T20:54:38","guid":{"rendered":"http:\/\/www.gcsdblogs.org\/schnowske\/?page_id=258"},"modified":"2025-09-18T10:27:54","modified_gmt":"2025-09-18T15:27:54","slug":"lessons","status":"publish","type":"page","link":"https:\/\/gcsdstaff.org\/schnowske\/?page_id=258","title":{"rendered":"Lessons"},"content":{"rendered":"<p style=\"text-align: center;\"><strong><em>All smartboard lessons are posted. See instructor or fellow classmates for other notes.<\/em><\/strong><\/p>\n<p style=\"text-align: center;\">Chapter 1 Lessons:<\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2020\/08\/ch-1.1-and-1.2.pdf\">ch 1.1 and 1.2<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2020\/08\/ch-1.3-experiments-1.pdf\">ch 1.3 experiments<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2020\/08\/Abuses-of-Statistics.pdf\">Abuses of Statistics<\/a><\/p>\n<p style=\"text-align: center;\">Chapter 2 Lessons:<\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/02\/ch-21-and-22.pdf\">ch 2.1 and 2.2<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2018\/09\/Ch-2.3-graphing-data.pdf\">Ch 2.3 graphing data<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/02\/ch-24-measures-of-central-tendency.pdf\">ch 2.4 Measures of central tendency<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/02\/ch-25-measures-of-dispersion.pdf\">ch 2.5 Measures of dispersion<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/03\/ch-26-measures-of-dispersion.pdf\">ch 2.6 Measures of dispersion<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/03\/ch-27-box-plots.pdf\">ch 2.7 box-plots<\/a><\/p>\n<p style=\"text-align: center;\">Excel Lessons:<\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2025\/09\/graphing-lesson-day-1_clean.xlsx\">graphing lesson day 1 (new version)<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/Scatterplot-lecture.xls\">Graphing lesson #2: How to create Scatterplot lecture and determine correlation<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/st.-deviation-lecture.xls\">Data Analysis lecture<\/a><\/p>\n<p style=\"text-align: center;\">Chapter 3 Lessons:<\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2022\/10\/ch-3.1-lesson.pdf\">ch 3.1 lesson<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/03\/ch-31-and-32.pdf\">ch 3.1 and 3.2<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/04\/ch-33-addition-rule.pdf\">ch 3.3: Addition rule<\/a><\/p>\n<p>ch <a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/3.4-multiplication-method.pdf\">3.4 multiplication method<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-3.5-conditional-probability.pdf\">ch 3.5 conditional probability<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/04\/ch-37-permutations-and-combinations.pdf\">ch 3.7: Permutations and Combinations<\/a><\/p>\n<p style=\"text-align: center;\">\u00ac\u00a8\u201a\u00c4\u2020Chapter 4 lessons:<\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-4.1-discrete-vs-continuous.pdf\">ch 4.1 discrete vs continuous<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-4.2-standard-deviation-and-means.pdf\">ch 4.2 standard deviation and means<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-4.3-binomials-probability-distributions.pdf\">ch 4.3 binomials probability distributions<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-4.4-short-cut-method1.pdf\">ch 4.4 short cut method<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-4.5-poisson-distribution.pdf\">ch 4.5 poisson distribution<\/a><\/p>\n<p style=\"text-align: center;\">Ch 5 Lessons<\/p>\n<p>\u00ac\u00a8\u201a\u00c4\u2020<a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-5.1-and-5.22.pdf\">ch 5.1 and 5.2<\/a>\u00ac\u00a8\u201a\u00c4\u2020Standard Normal Distributions<\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-5.3.pdf\">ch 5.3<\/a>\u00ac\u00a8\u201a\u00c4\u2020Finding Probabilities of Normal Distributions<\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-5.4-Finding-Values.pdf\">ch 5.4 Finding Values<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-5.5-Central-Limit-Theorem2.pdf\">ch 5.5 Central Limit Theorem<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-5.6-binomial-probabilities1.pdf\">ch 5.6 binomial probabilities<\/a><\/p>\n<p style=\"text-align: center;\">Chapter 6 lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-6.2-population-means-for-large-samples1.pdf\">ch 6.2 population means for large samples<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-6.3-population-means-for-small-samples.pdf\">ch 6.3 population means for small samples<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-6.4-fiding-n.pdf\">ch 6.4 fiding n<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/6.5-population-proportions.pdf\">6.5 population proportions<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-6.6-Chi-squared.pdf\">ch 6.6 Chi squared<\/a><\/p>\n<p style=\"text-align: center;\">\u00ac\u00a8\u201a\u00c4\u2020chapter 7 lessons:<\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-7.2-Null-Hypothesis.pdf\">ch 7.2 Null Hypothesis<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-7.3-large-samples.pdf\">ch 7.3 large samples<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-7.4-small-samples.pdf\">ch 7.4 small samples<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-7.5-proportions.pdf\">ch 7.5 proportions<\/a><\/p>\n<p><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-7.6-standard-deviations.pdf\">ch 7.6 standard deviations<\/a><\/p>\n<p style=\"text-align: center;\">ch 8 lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-8.2-2-sample-means4.pdf\">ch 8.2 2 sample means<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-83-matched-pairs.pdf\">ch 8.3 matched pairs<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-8.4-Two-proportions.pdf\">ch 8.4 Two proportions<\/a><\/p>\n<p style=\"text-align: left;\">Ch <a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/8.5-variances1.pdf\">8.5 variances<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-8.6-small-independent-samples.pdf\">ch 8.6 small independent samples<\/a><\/p>\n<p style=\"text-align: center;\">Chapter 9 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-9.2-correlation.pdf\">ch 9.2 correlation<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2009\/01\/ch-9.3-regression.pdf\">ch 9.3 regression<\/a><\/p>\n<p style=\"text-align: left;\">\n","protected":false},"excerpt":{"rendered":"<p>All smartboard lessons are posted. See instructor or fellow classmates for other notes. Chapter 1 Lessons: ch 1.1 and 1.2 ch 1.3 experiments Abuses of Statistics Chapter 2 Lessons: ch 2.1 and 2.2 Ch 2.3 graphing data ch 2.4 Measures of central tendency ch 2.5 Measures of dispersion ch 2.6 Measures of dispersion ch 2.7 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":242,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=\/wp\/v2\/pages\/258"}],"collection":[{"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=258"}],"version-history":[{"count":64,"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=\/wp\/v2\/pages\/258\/revisions"}],"predecessor-version":[{"id":2661,"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=\/wp\/v2\/pages\/258\/revisions\/2661"}],"up":[{"embeddable":true,"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=\/wp\/v2\/pages\/242"}],"wp:attachment":[{"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=258"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}