# Math 121 Lectures

## Spring 2016

Date Lecture Section Lecture Assignment
Chapter 1: Picturing Distributions with Graphs
Wed, Jan 13 1 Ch 1: Individuals and Variables Introduction AYK: 1, 2; CYS: 13; Ex: 23, 24
Thu, Jan 14 2 Pie Charts and Bar Graphs Pie Charts and Bar Graphs AYK: 3, 4, 5; CYS: 14, 15: Ex: 25, 26, 29
Fri, Jan 15 3 Quantitative Variables: Histograms Histograms AYK: 6; CYS: 17; Ex: 34(a), 35
Mon, Jan 18 4 Quantitative Variables: Stemplots Stemplots AYK: 1.10; CYS: 1.19, 1.20, 1.21; Ex: 36, 37, 38
Chapter 2: Describing Distributions with Numbers
Wed, Jan 20 5 Sec 2.1, 2.2, 2.3 Measuring Center AYK: 2.1, 2.3, 2.4; Ex: 25, 26
Thu, Jan 21 6 Sec 2.4, 2.5, 2.6 Measuring Variability: Boxplots AYK: 2.6; CYS: 2.19; Ex: 29, 30, 31, 32
Fri, Jan 22     (No class)
Chapter 3: The Normal Distribution
Mon, Jan 25 7 Sec 2.7 Measuring Variability: Standard Deviation AYK: 2.10, 2.11; CYS: 2.22, 2.23, 2.24; Ex: 46, 48, 50, 51
Wed, Jan 27 8 Sec 3.1, 3.2 Density Curves AYK: 3.1, 3.2, 3.3, 3.4
Thu, Jan 28 9 Sec 3.3, 3.4, 3.5 The Normal Distribution AYK: 5, 6, 7, 8, 9; CYS: 16, 17, 18, 21; Ex: 26, 27
Fri, Jan 29 10 Sec 3.6, 3.7, 3.8 Finding Normal Proportions AYK: 10, 11, 12; Ex: 28, 30, 31, 34, 35, 37, 40, 43
Chapter 4: Scatterplots and Correlation
Mon, Feb 1 11 4.1, 4.2, 4.3 Scatterplots AYK: 1, 3, 4, 6; CYS 14, 15, 19, 20; Ex 24
Wed, Feb 3 12 4.5, 4.6 Correlation AYK: 1, 3, 4, 6
CYS: 14, 15, 19, 20
Ex: 24, 26, 27, 28, 29
Chapter 5: Regression
Thu, Feb 4 13 5.1, 5.2 Regression Line AYK: 1, 2, 4, 5
CYS: 20, 21, 23, 24, 25, 26
Ex: 30, 34, 35(a-b), 37, 38
Fri, Feb 5 14 5.3, 5.4 Regression Equation AYK: 1, 2, 4, 5
CYS: 20, 21, 23, 24, 25, 26
Ex: 30, 34, 35(a-b), 37, 38
Mon, Feb 8 15 5.5, 5.6 Residual Analysis AYK: 8; Ex: 35(c), 42, 55, 61
Chapter 8: Producing Data: Sampling
Wed, Feb 10 16 8.1, 8.2 Producing Data AYK: 1, 3, 4, 5
CYS: 17, 18, 20
Ex: 26, 27, 29 (use the TI-83)
Thu, Feb 11 17 8.3 Simple Random Samples
Fri, Feb 12 Test 1
Mon, Feb 15 18 8.4, 8.5 Inferences & Stratified Samples AYK: 9, 10, 13, 14
CYS: 24, 25
Ex: 32, 33, 34, 37, 41
Chapter 9: Producing Data: Experiments
Wed, Feb 17 20 9.1, 9.2, 9.3, 9.4, 9.5 Experiments AYK: 1, 2, 4, 5, 10
CYS: 19, 20, 21, 22
Ex: 29, 31, 32, 33, 34
Thu, Feb 18 21   Randomized Experiments
Chapter 10: Introducing Probability
Fri, Feb 19 22 12.1, 12.2, 12.3 Probability
Calculating Probability
AYK: 5, 6, 7
CYS: 22, 23, 25, 26, 27
Ex: 32, 33, 35, 36, 38
Mon, Feb 22     No class
Wed, Feb 24 23 12.4 Probability Rules AYK: 8, 9, 10, 11
CYS: 22, 23
Ex: 39, 40, 47, 48ab, 50
Thu, Feb 25 24 12.5, 12.6 Discrete and Continuous Models AYK: 12, 14, 15, 16, 17
CYS: 24, 25, 26
Ex: 48c, 49, 51, 52, 53
Fri, Feb 26 25 12.7 Random Variables AYK: 18, 19
CYS: 30, 31
Ex: 52, 54
Chapter 11: Sampling Distributions
Mon, Feb 29 26 15.1, 15.2, 15.3 Sampling Distributions AYK: 1, 2, 5, 6
CYS: 17, 18, 19
Ex: 25, 26, 27
Wed, Mar 2 27 15.4, 15.5 Sampling Distribution Examples
Thu, Mar 3 28 15.4, 15.5 The Central Limit Theorem AYK: 8, 9, 10, 12
CYS: 20, 21, 22, 23
Ex: 28, 29, 30, 31
Fri, Mar 4 29 15.6 Statistical Significance AYK: 14
Ex: 36, 37, 38, 39, 40, 41
Mon, Mar 7 Spring Break
Wed, Mar 9
Thu, Mar 10
Fri, Mar 11
Chapter 16: Confidence Intervals: The Basics
Mon, Mar 14 30 16.1, 16.2 Confidence Intervals
Wed, Mar 16 31   Confidence Intervals for Means
Chapter 17: Tests of Significance: The Basics
Thu, Mar 17 32 17.1, 17.2 Tests of Significance
DieTest.exe
AYK: 1, 3, 5, 6, 7
Fri, Mar 18 Test 2
Mon, Mar 21 33 17.3, 17.4 Testing Procedure AYK: 8, 9, 13, 15
CYS: 21, 22, 23, 25, 26
Ex: 33, 38
Chapter 18: Inference in Practice
Wed, Mar 23 34 18.1, 18.3 Inference in Practice AYK: 1, 2, 4, 8, 11
CYS: 19, 20, 21, 25
Ex: 30, 31, 36, 38
Chapter 20: Inference about a Population Mean
Thu, Mar 24 35 20.1, 20.2 The t Distributions AYK: 1, 3, 4
CYS: 17, 18, 19
Fri, Mar 25 36 20.3, 20.4, 20.5 Using the t Statistic AYK: 5, 8, 9
CYS: 20, 21, 23, 24
Ex: 28, 29, 30, 37, 46
Mon, Mar 28 37 20.6, 20.7 Matched Pairs AYK: 11, 12, 13
CYS: 25, 26
Ex: 35, 39, 42, 48, 51
Chapter 21: Comparing Two Means
Wed, Mar 30 38 21.1, 21.2, 21.3 Two Sample Confidence Interval AYK: 1, 2, 3, 4
CYS: 18, 19, 20, 24
Ex: 35, 39
Thu, Mar 31 39 21.3 Two Sample Hypothesis Testing CYS: 25
Ex: 29(c), 30, 31, 32, 34
Chapter 22: Inference about a Population Proportion
Fri, Apr 1 40 22.1 Sampling Distribution for Proportions AYK: 1, 2, 3, 4
CYS: 15, 16, 17, 18
Ex: 26, 27, 30, 31
Mon, Apr 4 41 22.2, 22.3 Confidence Intervals for Proportions AYK: 1, 2, 3, 4
CYS: 15, 16, 17, 18
Ex: 26, 27, 30, 31
Wed, Apr 6 42 22.4 Hypothesis Testing for Proportions AYK: 9, 10, 11
CYS: 22, 23
Ex: 35, 37, 38, 40, 41
Chapter 23: Comparing Two Proportions
Thu, Apr 7 43 23.1, 23.2, 23.3 Comparing Two Proportions AYK: 1, 2, 3
CYS: 9, 10, 13
Ex: 17, 18, 19, 28
Fri, Apr 8 44 23.5 Hypothesis Tests Concerning Two Proportions AYK: 4, 5, 6
CYS: 11, 12, 14
Ex: 20, 21, 22, 23, 26
Chapter 25: Two Categorical Variables: The Chi-Square Test
Mon, Apr 11 45 25.1, 25.2, 25.3, 25.8 Two Categorical Variables AYK: 1, 2, 3, 5, 6
CYS: 19, 20, 21, 24, 25
Ex: 30, 31, 32, 34, 35
Wed, Apr 13 46 25.4, 25.5, 25.6 The Chi-Square Test
Test 2 Review
AYK: 7, 8, 9
CYS: 28
Ex: 36, 39, 40, 42
Thu, Apr 14 47 25.9 Goodness of Fit Test
UnfairDieTest.exe
FairDieTest.exe
AYK: 15, 16, 17, 18
Fri, Apr 15 Test 3
Mon, Apr 18 48 25.9 Goodness of Fit Examples
Wed, Apr 20 49 25.9 Chi-Square vs. z
Chapter 26: Inference for Regression
Thu, Apr 21 50 26.1, 26.2 Review of Regression AYK: 1
CYS: 16, 17, 18
Ex: 25(a)(b)
Fri, Apr 22 51 26.1, 26.2 Regression Inferences AYK: 2, 4, 6
CYS: 19, 20, 21, 22
Ex: 25(c)(d), 26, 28, 31
Mon, Apr 25 52   Review for Exam
Tue, May 3 Final Exam (2:00 - 5:00)

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