{"id":51,"date":"2008-10-03T13:17:49","date_gmt":"2008-10-03T18:17:49","guid":{"rendered":"http:\/\/www.gcsdblogs.org\/schnowske\/?page_id=51"},"modified":"2017-11-07T16:07:52","modified_gmt":"2017-11-07T21:07:52","slug":"lessons","status":"publish","type":"page","link":"https:\/\/gcsdstaff.org\/schnowske\/?page_id=51","title":{"rendered":"Lessons"},"content":{"rendered":"<p style=\"text-align: left;\">Chapter 1 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-1.0-Qualitative-vs-Quantitative-Data.pdf\" rel=\"\">Ch 1.0 Qualitative vs Quantitative Data<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/ch-1.1-pdf.pdf\" rel=\"\">ch 1.1 Bar\/Pie graphs<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/ch-1.2.pdf\" rel=\"\">ch 1.2 Dot graphs, Stem and Leaf, and Histograms<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Measures-of-Center-and-Box-Plots.pdf\" rel=\"\">Ch 1.3 Measures of Center and Box Plots<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Standard-deviation.pdf\" rel=\"\">Ch 1.3 Standard deviation<\/a><\/p>\n<p style=\"text-align: left;\">Chapter 2 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-2.1.pdf\" rel=\"\">Ch2.1 Percentile Ranking, Cumulative Relative Frequency, z-score<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-2.2-1.pdf\" rel=\"\">Ch 2.2 Area under the Curve<\/a><\/p>\n<p style=\"text-align: left;\">Chapter 3 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/ch-3.1-Scatterplots-and-Correlation.pdf\" rel=\"\">Ch 3.1 Scatterplots and Correlation<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-3.2-Regression.pdf\" rel=\"\">Ch 3.2 Regression<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/3.2-R-squared.pdf\" rel=\"\">Ch 3.2 R squared<\/a><\/p>\n<p style=\"text-align: left;\">C<a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-3.2-Writing-the-least-squares-line.pdf\" rel=\"\">h 3.2 Writing the least squares line<\/a><\/p>\n<p style=\"text-align: left;\">Chapter 4 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-4.1-Sampling-methods.pdf\" rel=\"\">Ch 4.1 Sampling methods<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-4.2-Designing-an-Experiment.pdf\" rel=\"\">ch-4-2-designing-an-experiment<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-4.3-Ethics.pdf\" rel=\"\">ch-4-3-ethics<\/a><\/p>\n<p style=\"text-align: left;\">Chapter 5 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-5.1.pdf\" rel=\"\">Ch 5.1 Simulations<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-5.2-Probility.pdf\" rel=\"\">Ch 5.2 Probability Rules<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-5.3-Conditional-Probability-and-Trees.pdf\" rel=\"\">Ch 5.3 Conditional probability and trees<\/a><\/p>\n<p style=\"text-align: left;\">Chapter 6 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-6.1-Probability-Distribution-Tables.pdf\" rel=\"\">Ch-6-1-probability-distribution-tables<\/a><\/p>\n<p style=\"text-align: left;\">C<a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-6.2-Transformations-of-means-and-stdev.pdf\" rel=\"\">h-6-2-transformations-of-means-and-stdev<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/ch-6.3-Day-1.pdf\" rel=\"\">Ch-6-3-day-1 Finding probability for Binomial Distribution <\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-6.3-Day-2-and-3.pdf\" rel=\"\">ch-6-3-day-2-and-3<\/a> Finding Means and Standard deviations for Binomials and probability for Geometric distributions<\/p>\n<p style=\"text-align: left;\">Ch 7 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-7.1-Sampling-Distributions.pdf\" rel=\"\">ch-7-1-sampling-distributions<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-7.2-Sample-Proportions.pdf\" rel=\"\">ch-7-2-sample-proportions<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-7.3-Sample-Means.pdf\" rel=\"\">ch-7-3-sample-means<\/a><\/p>\n<p style=\"text-align: left;\">Ch 8 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-8.1-basics-of-C-Is.pdf\" rel=\"\">ch-8-1-basics-of-confidence intervals<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-8.2-C-I-for-populaion-proportions.pdf\" rel=\"\">ch-8-2-c-i-for-populaion-proportions<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-8.3-CI-for-means.oxps\" rel=\"\">ch-8-3-ci-for-means<\/a><\/p>\n<p style=\"text-align: left;\">Chapter 9 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/ch-9.1-Basics-of-Hypothesis-testing.pdf\" rel=\"\">ch 9.1 Basics of Hypothesis testing<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-9.2-Hypothesis-Testing-for-Proportions.pdf\" rel=\"\">Ch 9.2 Hypothesis Testing for Proportions<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/ch-9.3-Day-1-Population-means.pdf\" rel=\"\">ch 9.3 Day #1 Population means<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-9.3-Day-2-paired-data.pdf\" rel=\"\">Ch 9.3 Day #2 paired data<\/a><\/p>\n<p style=\"text-align: left;\">Chapter 10 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/ch-10.1-2-sample-proportions.pdf\" rel=\"\">ch 10.1 2 sample proportions<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/ch-10.2-2-sample-means.pdf\" rel=\"\">ch 10.2 2 sample means<\/a><\/p>\n<p style=\"text-align: left;\">Chapter 11 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/ch-11.1-Xsquared-GOF.pdf\" rel=\"\">ch 11.1 Xsquared GOF<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/Ch-11.2-way-tables.pdf\" rel=\"\">Ch 11.2 way tables<\/a><\/p>\n<p style=\"text-align: left;\">Ch 12 Lessons:<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/12.1.pdf\" rel=\"\">Ch 12.1<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/gcsdstaff.org\/schnowske\/wp-content\/uploads\/2008\/10\/12.2.pdf\" rel=\"\">Ch 12.2<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chapter 1 Lessons: Ch 1.0 Qualitative vs Quantitative Data ch 1.1 Bar\/Pie graphs ch 1.2 Dot graphs, Stem and Leaf, and Histograms Ch 1.3 Measures of Center and Box Plots Ch 1.3 Standard deviation Chapter 2 Lessons: Ch2.1 Percentile Ranking, Cumulative Relative Frequency, z-score Ch 2.2 Area under the Curve Chapter 3 Lessons: Ch 3.1 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":24,"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\/51"}],"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=51"}],"version-history":[{"count":60,"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=\/wp\/v2\/pages\/51\/revisions"}],"predecessor-version":[{"id":2094,"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=\/wp\/v2\/pages\/51\/revisions\/2094"}],"up":[{"embeddable":true,"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=\/wp\/v2\/pages\/24"}],"wp:attachment":[{"href":"https:\/\/gcsdstaff.org\/schnowske\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=51"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}