{"id":27,"date":"2016-08-18T15:33:56","date_gmt":"2016-08-18T19:33:56","guid":{"rendered":"http:\/\/blogs.nd.edu\/alin\/?page_id=27"},"modified":"2016-10-28T14:34:47","modified_gmt":"2016-10-28T18:34:47","slug":"home-works-and-exams","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/alin\/teaching\/statisticsforthelifesciences\/home-works-and-exams\/","title":{"rendered":"Topics and exams"},"content":{"rendered":"

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\nDATE<\/strong><\/td>\nWeek #<\/td>\nTopics and exams<\/strong><\/td>\n<\/tr>\n
8-24<\/p>\n

8-26<\/td>\n

1<\/td>\nCh. 1<\/strong> –\u00a0 Introduction- Picturing Distributions with Graphs<\/p>\n

Categorical and Quantitative variables<\/p>\n

 <\/td>\n<\/tr>\n

8-29<\/p>\n

8-31<\/p>\n

9-2<\/td>\n

2<\/td>\nCh. 2<\/strong> –\u00a0 Describing Distributions with Numbers-Measures of Central Tendency<\/p>\n

Measures of Distribution Dispersion,\u00a0\u00a0\u00a0\u00a0\u00a0 Ch.3 –\u00a0\u00a0 Scatterplots<\/p>\n

Ch. 3<\/strong> –\u00a0 Measures of Association Between Two Variables (Correlation Coefficient)<\/p>\n

 <\/td>\n<\/tr>\n

9-5<\/p>\n

9-7<\/p>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

9-9<\/td>\n

3<\/td>\nCh. 4<\/strong> –\u00a0 Regression<\/p>\n

The least-squares\u00a0 regression line, outliers and influential observations<\/p>\n

 <\/p>\n

Ch. 7<\/em><\/strong> & Ch. 8<\/strong> will be covered later in the semester and will be on the final exam.<\/em><\/p>\n

 <\/p>\n

Ch. 9<\/strong> – Introducing Probability<\/p>\n

 <\/td>\n<\/tr>\n

9-12<\/p>\n

9-14<\/p>\n

9-16<\/td>\n

4<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Events and Their Probabilities<\/p>\n

Probability Rules<\/p>\n

Probability Models<\/p>\n

 <\/td>\n<\/tr>\n

9-19<\/p>\n

 <\/p>\n

9-20<\/strong><\/p>\n

 <\/p>\n

9-21<\/p>\n

9-23<\/td>\n

5<\/td>\nCh. 10 <\/strong>– General Rules of Probability<\/p>\n

 <\/p>\n

EXAM 1 (Chapters 1-4, 9), 8:00-9:15 AM,\u00a0\u00a0 127 Nieuwland Science Hall\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><\/p>\n

 <\/p>\n

Bayes\u2019 theorem<\/p>\n

Ch. 11<\/strong> – The Normal Distributions<\/p>\n

 <\/td>\n<\/tr>\n

9-26<\/p>\n

9-28<\/p>\n

9-30<\/td>\n

6<\/td>\nCh. 12<\/strong>–\u00a0 Discrete Probability Distributions (Random Variables)<\/p>\n

Binomial Probability Distribution-Poisson\u00a0\u00a0 Probability Distribution<\/p>\n

Ch. 13<\/strong> – Sampling Distributions<\/p>\n

 <\/td>\n<\/tr>\n

10-3<\/p>\n

10-5<\/p>\n

10-7<\/td>\n

7<\/td>\nCh. 14<\/strong> – Introduction to Inference<\/p>\n

Confidence interval for the mean<\/p>\n

Tests of significance<\/td>\n<\/tr>\n

10-10<\/p>\n

10-12<\/p>\n

 <\/p>\n

10-13<\/strong><\/p>\n

 <\/p>\n

10-14<\/td>\n

8<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 P-value and statistical significance<\/p>\n

Tests for a population mean<\/p>\n

 <\/p>\n

EXAM 2 (Chapters 9-14), 8:00-9:15 AM, 141 DeBartolo Hall\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><\/p>\n

 <\/p>\n

Ch. 15 <\/strong>– Inference in practice<\/p>\n

 <\/td>\n<\/tr>\n

Oct. 15-23<\/strong><\/td>\n9<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Fall BREAK<\/strong><\/p>\n

 <\/td>\n<\/tr>\n

10-24<\/p>\n

10-26<\/p>\n

10-28<\/td>\n

10<\/td>\nCh. 15 <\/strong>– Inference in practice<\/p>\n

Ch. 17 – <\/strong>Inference about a Population Mean\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><\/p>\n

Ch.18 – <\/strong>Comparing Two Means\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><\/p>\n

 <\/td>\n<\/tr>\n

10-31<\/p>\n

11-2<\/p>\n

11-4<\/td>\n

11<\/td>\nCh.19<\/strong> \u2013 Inference about a Population Proportion<\/p>\n

Ch. 20<\/strong>– Comparing Two Proportions<\/p>\n

Ch. 21<\/strong>–\u00a0 The Chi-Square Test for Goodness of Fit<\/p>\n

 <\/td>\n<\/tr>\n

11-7<\/p>\n

11-9\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 11-11<\/p>\n

 <\/td>\n

12<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The Chi-Square distributions<\/p>\n

Ch. 22<\/strong>– The Chi-Square Test for Two-Way Tables<\/p>\n

Conditions for the Chi-Square Test<\/p>\n

 <\/td>\n<\/tr>\n

11-14<\/p>\n

 <\/p>\n

11-15<\/strong><\/p>\n

 <\/p>\n

11-16<\/p>\n

11-18<\/p>\n

 <\/td>\n

13<\/td>\nCh. 24<\/strong>– One-way Analysis of Variance<\/p>\n

 <\/p>\n

EXAM 3 (Chapters 14, 15, 17\u2013 22), 8:00-9:15 AM, <\/strong>141 DeBartolo Hall\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/strong><\/p>\n

 <\/p>\n

One-way Analysis of Variance<\/p>\n

One-way Analysis of Variance<\/p>\n

 <\/td>\n<\/tr>\n

11-21<\/td>\n14<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Comparing several means<\/p>\n

 <\/td>\n<\/tr>\n

Nov. 23-27<\/strong><\/td>\n14<\/td>\nThanksgiving Break<\/strong><\/p>\n

 <\/td>\n<\/tr>\n

11-28<\/p>\n

11-30<\/p>\n

12-2<\/p>\n

 <\/td>\n

15<\/td>\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0Comparing several means<\/p>\n

Ch. 7<\/strong> –\u00a0 Samples and Observational Studies<\/p>\n

Ch.8<\/strong> –\u00a0\u00a0 Designing Experiments<\/td>\n<\/tr>\n

12-5<\/p>\n

12-7<\/td>\n

16<\/p>\n

 <\/td>\n

Ch. 26<\/strong>– Analysis of Variance: Follow-up Tests and Two-Way ANOVA<\/p>\n

Semester Review<\/strong><\/td>\n<\/tr>\n

Dec. 14<\/strong><\/td>\n <\/td>\nFINAL EXAM (Cumulative) 1:45 – 3:45 p.m. <\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

  DATE Week # Topics and exams 8-24 8-26 1 Ch. 1 –\u00a0 Introduction- Picturing Distributions with Graphs Categorical and Quantitative variables   8-29 8-31 9-2 2 Ch. 2 –\u00a0 Describing Distributions with Numbers-Measures of Central Tendency Measures of Distribution … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":2264,"featured_media":0,"parent":2,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-27","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/alin\/wp-json\/wp\/v2\/pages\/27","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nd.edu\/alin\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.nd.edu\/alin\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/alin\/wp-json\/wp\/v2\/users\/2264"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/alin\/wp-json\/wp\/v2\/comments?post=27"}],"version-history":[{"count":3,"href":"https:\/\/sites.nd.edu\/alin\/wp-json\/wp\/v2\/pages\/27\/revisions"}],"predecessor-version":[{"id":76,"href":"https:\/\/sites.nd.edu\/alin\/wp-json\/wp\/v2\/pages\/27\/revisions\/76"}],"up":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/alin\/wp-json\/wp\/v2\/pages\/2"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/alin\/wp-json\/wp\/v2\/media?parent=27"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}