Prestatistics: Acceleration and New Hope for Non-STEM Majors Jay - - PowerPoint PPT Presentation

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Prestatistics: Acceleration and New Hope for Non-STEM Majors Jay - - PowerPoint PPT Presentation

Prestatistics: Acceleration and New Hope for Non-STEM Majors Jay Lehmann College of San Mateo MathNerdJay@aol.com www.pearsonhighered.com Learning Is Learning is embedding new knowledge in the rich soil of what you already know.


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Prestatistics: Acceleration and New Hope for Non-STEM Majors

Jay Lehmann College of San Mateo MathNerdJay@aol.com www.pearsonhighered.com

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Learning Is Learning is embedding new knowledge in the rich soil

  • f what you already know.

Marlieke van Kesteren at VU University Amsterdam

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Outline

1 Motivation for Prestatistics Course 2 Content 3 Structure 4 Pedagogy 5 Challenges 6 Success Rates

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Show Me the Data! West Virgina: % of entering freshmen who enroll in remedial courses in their first year: 2-year: 69.8% 4-year non flagship: 15.6% % of remedial students completing gateway courses within two academic years 2-year: 16.9% 4-year non flagship: 26.9% Source: Complete College America

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Show Me the Data! College of San Mateo (in California) Students who pass algebra sequence and statistics: Within 2 years: 13% Within 5 years: 21%

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Algebra Preparation for Most Non-STEM Majors Traditional algebra sequence is an inefficient preparation for statistics. not in line with most non-STEM majors’ careers.

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A Very Rough Estimation (0.5)(0.9)(0.5)(0.9)(0.65) ≈ 0.13

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A Very Rough Estimation (0.5)(0.9)(0.5)(0.9)(0.65) ≈ 0.13 (0.5)(0.9)(0.65) ≈ 0.29

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My Department’s Use of Prestatistics Prestatistics replaces elementary algebra and intermediate algebra. Statistics course is unchanged.

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Prestatistics Course Content Chapters: 1: Arithmetic review 2: Observational studies and experiments 3: Statistical diagrams 4: Measures of center and spread 5: Probability laws and normal distribution 6: Linear regression

  • 7. Graphing and interpreting linear functions
  • 8. Solving linear equations and inequalities.

9: More linear regression 10: Exponential regression

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Course Structure 6-unit course 2 hours on Tuesdays, 1 hour other weekdays Supplemental Instruction StatCrunch Online homework 3 projects 7 tests, 10 quizzes, 1 final exam Cumulative tests

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A Typical Day

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Brain Activity

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Importance of Empathy “High personal warmth with high active demandingness” Judith Kleinfeld (1972)

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Improve Students’ Beliefs and Behaviors Belonging (Walton and Cohen) “Grow your brain” (Yeager and Walton)

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Who Can Take the Course? Prerequisite: Arithmetic Students who will take statistics and no other math courses.

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Fall 2016 Students’ Majors

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If You Could Have One Superhero Power . . .

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Fall 2016 Students’ Majors

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Fall 2016 Students’ Majors Emily

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What the Course Should Not Be Acceleration should not mean . . . Deleting challenging topics. Dumbing-down remaining topics. Duplicating the first half of statistics. Avoid the 3 Ds!

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Goal of Course Have students embed new statistical knowledge in the rich soil of what they already know.

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Big Question But How?

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Goal of Course By productive struggle

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Big Question Come again?

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Goal of Course Students work collaboratively Unfamiliar problems

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Big Question But which problems?

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Goal of Course Problems that address fundamental concepts Problems that drive to the heart of students’ misconceptions

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Big Question This better be good.

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Interpreting Boxplots A student says there are more planets that have between 8 and 45 moons than there are planets that have less than 8 moons, because the right part of the box is longer than the combined length of the left whisker and left part of the box. What woud you tell the student?

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Big Question Straight up.

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Interpreting Boxplots

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Number of Planets 8 or 9?

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Sample Size versus Center Which would tend to be larger, the mean weight of 20,000 randomly selected cats or the mean weight of 5 randomly selected human adults? Explain.

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Big Question Dude, seriously? 20,000 cats?

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Sample Size versus Center What’s the mean weight of three 10-pound cats? 10 + 10 + 10 3 = 3(10) 3 = 10 Okay, what’s the mean weight of four 10-pound cats? 10 + 10 + 10 + 10 4 = 4(10) 4 = 10

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Standard Deviation Which distribution has the smallest standard deviation? The largest? Explain. Dist 1: Dist 2: Dist 3:

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Song Lengths Played by Live 105

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Procrastinistas

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Song Lengths Played by Live 105

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Area of a Bar versus Area Under Normal Curve

0.28 50 100 150 200 250 300 350 400 450 500 0.002 0.004 0.006 0.008 Song Lengths Density Seconds

On the basis of the above graph, a student determines that the percentage of songs between 250 and 350 seconds (twice the length in songs) is 2(28) = 56%. What would you tell the student?

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Big Question I’m hip to you, dude. The student’s flat-out wrong. The student’s always wrong. Honestly, what do you think you’re doing in front of the classroom?

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Area of a Bar versus Area Under Normal Curve

0.83 50 100 150 200 250 300 350 400 450 500 0.002 0.004 0.006 0.008 Song Lengths Density Seconds

Find the percentile for a 300-second long song. Find the song length at the 83rd percentile.

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What’s the Connection? Relative Frequency Histogram ? ? ? Normal Curve

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The Missing Ingredient Density histograms

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Definition of Density Histogram density = relative frequency class width

30 40 50 60 70 80 90 100 110 0.005 0.010 0.015 0.020 0.025 0.030 0.03 0.03 0.14 0.14 0.29 0.29 0.08 Test 1 Scores Density Points

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density = relative frequency class width area of bar = relative frequency class width · class width area of bar = relative frequency

30 40 50 60 70 80 90 100 110 0.005 0.010 0.015 0.020 0.025 0.030 0.03 0.03 0.140.14 0.290.29 0.08 Test 1 Scores Density Points

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Average Ticket Prices at MLB Stadiums

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Density Histogram and Adding Areas

15 20 25 30 35 40 45 50 55 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.13 0.33 0.27 0.10 0.07 0.03 0.07 Average Ticket Prices at MLB Stadiums Density Dollars

Find the percentile for a $30 ticket.

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Density Histogram and Adding Areas

15 20 25 30 35 40 45 50 55 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.13 0.33 0.27 0.10 0.07 0.03 0.07 Average Ticket Prices at MLB Stadiums Density Dollars

Find the ticket price at the 93rd percentile.

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Mean Response Time to Fix Potholes in Chicago

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Ask Authentic Questions

7 14 21 28 35 42 49 56 63 70 77 0.01 0.02 0.03 0.04 0.05 0.34 0.33 0.12 0.08 0.03 0.07 Mean Response Time to Fix Potholes in Chicago Density Days

Has Chicago met its goal of 7 days?

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Address Difficult Terminology

7 14 21 28 35 42 49 56 63 70 77 0.01 0.02 0.03 0.04 0.05 0.34 0.33 0.12 0.08 0.03 0.07 Mean Response Time to Fix Potholes in Chicago Density Days

Find the proportion of mean response times that are at most 20 days.

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Address Difficult Terminology

7 14 21 28 35 42 49 56 63 70 77 0.01 0.02 0.03 0.04 0.05 0.34 0.33 0.12 0.08 0.03 0.07 Mean Response Time to Fix Potholes in Chicago Density Days

Find the proportion of mean response times that are at least 42 days.

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Television Viewing Durations

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Collaborative Activity: Areas of Density Histograms

2 4 6 8 10 0.05 0.10 0.15 0.20 Television Viewing Durations in the Summer by College Students Density Hours per Day

1 Compute the area of each of the five bars. 2 Find the total area. 3 What is the total area of any density histogram?

Explain.

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Motivating the Normal Curve

50 100 150 200 250 300 350 400 450 500 0.002 0.004 0.006 0.008 0.19 0.42 0.27 0.07 Song Lengths Density Seconds

What is the probability of randomly selecting a song length between 170 and 230 seconds?

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Introducing the Normal Curve

50 100 150 200 250 300 350 400 450 500 0.002 0.004 0.006 0.008 0.19 0.42 0.27 0.07 Song Lengths Density Seconds

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Using Smaller Class Sizes

50 100 150 200 250 300 350 400 450 500 0.002 0.004 0.006 0.008 0.010 0.012 0.014 Song Lengths Density Seconds

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Area of a Bar versus Area Under Normal Curve

50 100 150 200 250 300 350 400 450 500 0.002 0.004 0.006 0.008 0.19 0.42 0.27 0.07 Song Lengths Density Seconds

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Area of a Bar versus Area Under Normal Curve

0.28 50 100 150 200 250 300 350 400 450 500 0.002 0.004 0.006 0.008 Song Lengths Density Seconds

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Area is Equal to Probability

The area is equal to the probability that a randomly selected observation is in the interval. A Normal Curve Density Interval

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Total Area Under Normal Curve

50 100 150 200 250 300 350 400 450 500 0.002 0.004 0.006 0.008 Song Lengths Density Seconds

The total area under a normal curve is equal to 1.

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Mini Essays Encourage Students to Dig Deeper If one of these two guys passed your intro stats course, which one would he be?

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Mini Essays Encourage Students to Dig Deeper Ask about key concepts. Misconception or gap in understanding Group activities, homework, group quizzes, tests

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A Mini Essay Question The scores from Test 1 and Test 2 for our class are described by the following two dotplots. A student in

  • ur class earned 80 points on Test 1 and 78 points on

Test 2. The student thinks that he or she did worse on Test 2. What would you tell the student?

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A Mini Essay Question The scores from Test 1 and Test 2 for our class are described by the following two dotplots. A student in

  • ur class earned 80 points on Test 1 and 78 points on

Test 2. The student thinks that he or she did worse on Test 2. What would you tell the student? Use concepts we have discussed to support your

  • argument. Perform some calculations, but also write a

through response to explain why your calculations are

  • relevant. Use vocabulary we have been using in

class.

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A Mini Essay Question Test 1 = 12 22 = 0.545 55th percentile Test 2 = 15 22 = 0.681 68th percentile If you are looking at her standing in the overall concept of score she would see that she actually did better on Test 2 due to her only beng #7 in running for 100%. Compared to test one she was #10. 27 44 = 0.613 After both her tests she still sits at the 61st percentile in her class.

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Project Assignments Provide Big Picture Data set with lots of individuals and variables Groups of students pose a question without viewing the data Groups analyze data Students write reports individually

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Project Assignments Provide Big Picture Roller Coaster Data Name of Ride Park City State Country Type Construction Height (ft) speed (mph) Length (ft) Inversions Number of Inversions Duration GForce Opened

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Challenges of Transition to Statistics Workload Culture clash of teaching styles

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Show Me the Data! Students who pass algebra sequence and statistics: Within 2 years: 13% Within 5 years: 21% Students who pass prestatistics and statistics: Within 1.5 years: 23% Within 5 years: ????

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Prestatistics: Acceleration and New Hope for Non-STEM Majors

Jay Lehmann College of San Mateo MathNerdJay@aol.com www.pearsonhighered.com