Statistics

PODCAST · education

Statistics

These podcasts are for students interested in learning or reviewing topics in an introductory statistics class. Podcast topics include describing and summarizing data both graphically and numerically, probability, various distributions, confidence intervals, tests of significance, and exploration of bivariate data. This show focuses more on practice with using a graphing calculator and Microsoft Excel and less of the formulaic approach. Some of the podcasts are raw (unedited) clips from a live classroom. This course, taught on campus twice per week for 100 minutes, was recorded at the Lancaster Campus of Harrisburg Area Community College. This course requires the use of a graphing calculator such as a TI-83 or TI-84 and Excel.

  1. 31

    27. Binomial probalbity distributions

    In this video I tell the story of Joy Milne and her ability to smell Parkinson's disease and use part of that story as an intro to learning the characteristics of the binomial probability distribtion. We learn how to create binomial probability distributions using excel and the binomial formula..

  2. 30

    25.Probability and counting principles BIG review

    Big review of basic laws of probability and counting principles . This is a recording in front of a live classroom.

  3. 29

    24. Counting principles -extra practice

    In this video we practice using various counting principles in sample problems.

  4. 28

    23. Counting principles intro (lesson 9)

    Here I present some of the basic rules for counting techniques needed in an intro to probability course.

  5. 27

    22. The Birthday Paradox problem

    We explore the birthday problem: What is the probability that at least 2 people share the same birthday in a classroom of 25 people?

  6. 26

    21.Probability notes part 4 (lesson 8)

    This is part of 4 of 4 on the basic laws of probability. This podcast focuses on conditional probability and the test for independent events.

  7. 25

    20.Probability notes part 3(lesson 8 )

    This is part 3 of a 4 part probability notes.

  8. 24

    19.Probability notes part 2 (lesson8)

    This is part 2 of a 4 part notes on the basic laws of probability.

  9. 23

    19. Probablity notes part 1 (lesson 8)

    These notes on probability will be broken into a 4 part video.This is part one of the guidedd notes on probability

  10. 22

    18. Intro to probability(lesson 8 )

    In this video I begin to introduce the laws of probability very simply through looking at cards, dice, and coin problems..

  11. 21

    16b.compute residuals and make a residual plot in excel(Lesson 7)

    In this video I show how easy it is is to compute residuals and make a residual plot in excel.

  12. 20

    15a.Correlation and regression using excel(lesson6)

    In this video I show a fast and easy way to retrieve the scatterplot and correlation coefficient and examine the strength and direction of the association of a scatter-plot using excel.

  13. 19

    17.Residual plot

    In this video I pick a problem from the textbook to work through with you and we calculate residuals and make a residual plot. We then use the residual plot to decide if the linear model is appropriate for the data.You may want to pause the video and enter the data and practice computing residuals along with me.

  14. 18

    16a.Residuals and scatterplots

    This a live clip from an actual classroom where we learn how to compute residuals using a TI-83 and learn the definition of a residual.I also show how to compute the sum of the squared residuals.

  15. 17

    15b.Correlation and regression intro(lesson6)

    In this lesson we explore the association between two variable via looking at scatter-plots and computing the correlation coefficient. This is shown using a TI-83.Lesson6 guided notes.

  16. 16

    14.Boxplot,Histogram, and Chebyshev's theorem extra practice

    This is a clip from a live classroom where we do a warm up problem together and review how to numerically and graphichally summarize a data set via making a boxplot and histogram on TI-83 and we use the TI-83 to gather numerical descriptors.

  17. 15

    13.z-scores, quartiles, and boxplots extra practice II

    This is a clip form a live classroom where I work through some problems in the textbook involvingz scores and boxplots.We review how to find outliers as well.

  18. 14

    12.Z scores and boxplots extra practice I

    In this video I pull a couple of examples out of our textbook to work through (for extra practice)involving z scores and boxplots.

  19. 13

    16.Chebyshev's inequality extra practice

    This is a clip from a live classrooom where we work through a homework problem together involving Chebyshev's theorem.

  20. 12

    15.Empirical rule and Chebyshev's inequality-extra practice

    This is a clip fom a live classroom where we work on some problems together out of the textbook and practice using Empirical rule and Chebyshev's inequaltiy.

  21. 11

    14.Empirical rule and Chebyshev's inequality(Lesson4)

    In this video I explain the difference between Chebyshev's inequality and the Empirical rule for bell shaped data.

  22. 10

    11.Z scores, percentiles, boxplots(lesson 5)

    In this lesson we will explore the definiton of a z score and how that relates to percentile rank. We will also explore a data set to see if there are any outliers in the data. To determine if there are outliers we will create a modified boxplot on a TI-83 but we will also use the fence criterion.(lesson5 guided notes)

  23. 9

    09.Descriptive statistics:Measures of central tendency and dispersion (by hand using formulas)

    In this video, which is a clip from a LIVE classroom, I review how to find variance and standard deviation by hand and also go over the mathematical notation for measures of central tendency and dispersion.

  24. 8

    08.Descriptive statistics using excel

    In this video I show how to retrieve mean, median, mode and standard deviation at the touch of a button using excel(with megastat add in). We take a data set (people's test scores) and practice making stem and leaf and boxplots in excel. We discuss mean, median, and mode and the relationship to skewed distributions as well..

  25. 7

    07.Mean,Median,Mode, and Standard deviation(Lesson3)

    In this video we discuss the meaning of various numerical summaries such as mean, median , mode, standard deviation, and variance. I also demonstrate how to obtain those descriptive statistics by formula and using technology.(Lesson3 guided notes)

  26. 6

    06.Excel: make a line chart,barchart,and pie chart

    In this video I make a line chart, bar chart , and pie chart using excel.

  27. 5

    05.Intro to statistics and more on making data displays

    This is a clip from a live classroom so you will hear me interacting with students as I guide them through some of the statistical jargon that is being used and I also review how to make data displays such as pie charts and histograms using both excel and TI83.

  28. 4

    03. Data displays- excel

    You can make boxplots, stem and leaf plots, dot plots , boxplots, and histograms at the touch of a button in excel and I will show you how in this video.

  29. 3

    02.Descriptive statistics using TI83 and Excel

    I demonstrate how to use a TI-83 and excel(with megastat)l to report numerical summaries such as mean and median and standard deviation of a data set quickly and easily.

  30. 2

    04. Histogram; made on graphing calculator

    In this podcast we take a data set and create a histogram on the TI-83 to display the income distribution and discuss the shape of the distribution. Sometimes you can tell whether a distribution is skewed right , skewed left, or fairly symmetric just by looking at a histogram but sometimes it's not that obvious.

  31. 1

    01. Introduction to statistics and data displays

    Why do we need to learn and study statistics? In this podcast I begin to answer that question and I introduce some statistical jargon and terminolgy and provide an intro to ways of displaying data.Lesson 1; guided notes

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ABOUT THIS SHOW

These podcasts are for students interested in learning or reviewing topics in an introductory statistics class. Podcast topics include describing and summarizing data both graphically and numerically, probability, various distributions, confidence intervals, tests of significance, and exploration of bivariate data. This show focuses more on practice with using a graphing calculator and Microsoft Excel and less of the formulaic approach. Some of the podcasts are raw (unedited) clips from a live classroom. This course, taught on campus twice per week for 100 minutes, was recorded at the Lancaster Campus of Harrisburg Area Community College. This course requires the use of a graphing calculator such as a TI-83 or TI-84 and Excel.

HOSTED BY

Susan Elizabeth Cooper-Nguyen

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