Statistics
Textbook
Preface
One: Statistics, populations, sample size n
Two: Measures of middle and spread
Three: Data visualization, charts, graphs, histograms
Three supplemental: Chart examples and the stories they tell
Four: Paired variables and linear regressions
Five: Basics of probability
Six: Probability distributions, means and stdev from frequency tables
Seven: Introduction to the normal distribution
Eight: Distribution of the sampling means and standard error of the mean
Nine: Confidence intervals
Ten: Hypothesis testing
Eleven: Testing two samples for a difference of means where the population mean is not known
Twelve: Data exploration
Slides presentations
Stats O1 Introduction
Stats 02 Measures of middle and spread
Stats 03 Visualizing data
Stats 04 Paired data and scatter graphs
Stats 05 Probability
Stats 07 Introduction to the normal curve
Stats 08 Sampling distribution of the mean
Stats 09 Confidence intervals
Stats 10 Hypothesis testing against a known population mean
Stats 11 Hypothesis testing for a difference between two sample means
Stats 12 Data exploration
Videos
1.0 Introduction to MS 150 Statistics
1. 1 Populations, samples, and sample size n
1.2 Types and levels of measurement
2.1 Measures of middle: mode, median, mean
2.2 Spread and variation: quartiles
2.3 Sample standard deviation
2.4 Variables
2.5 Z-score: A Measure of Relative Standing
3.1 Charts in the Google Sheets app
3.2 Nominal level "histograms" Categorical column charts with Google Sheets
3.30 Ratio level histogram with Google Sheets app
3.31 Ratio level frequency table video
3.4 Shape of ratio level histograms
3.4 Ratio level histograms in Google Sheets desktop
4.1 Paired linearly dependent variables
4.2 Slope and intercept functions for a linear regression
4.2 Regression lines on an xy scattergraph in Google Sheets Desktop
4.3 Qualitative nature and strength of the relationship between two variables
4.4 Correlation pre-content advanced organizer
4.4 Correlation coefficient r in Google Sheets app
4.4 Coefficient of Determination
4.5 Correlation playlist
5.1 Probability: Mathematically predictable outcomes for single toss or draw systems
5.1 Modeling a single six-sided die with Google Sheets app
5.3 Probability is relative frequency
7.1 An introduction to the shape of randomness: the normal distribution
7.3 Areas under the normal curve
8.1 Sampling distribution of the mean
10.1 Confidence interval hypothesis test for an expected population mean
10.2 Hypothesis testing for an expected population mean
10.3 p-value for a known population mean
11.1 t-test for a paired difference in sample means for dependent samples
11.2 Independent samples t-test for a difference of sample means
11.3 Effect size for a significant difference of two sample means
Data exploration support videos
Data exploration assignments provide the student with raw data and questions about the meaning of the data. Data has a story to tell, statistics can help tell the story. These are more open ended assignments and are challenging for the students. These assignments require the student to apply what they have learned, to demonstrate the ability to choose optimal statistical analyses. The following videos provide support for data exploration assignments whenever they occur during the term.
12.0 Guided data exploration: Google Sheets to Google Slides using paper aircraft data desktop
12.0 Guided data exploration: Google Sheets app to Google Slides app using paper aircraft data
12.1 An example of a data exploration
12.12 The numbers tell a story
12.2 Exploring a relationship between variables in column B and C of a spreadsheet on a laptop
12.2 Data structure informs statistics options for a laptop
12.2 Data structure informs statistics options for a mobile phone
12.2 Nike Fuel data exploration on a laptop multicolumn dependent data
12.2 Nike Fuel data exploration on a mobile device multicolumn dependent data
12.2 A hint on how to deal with the need to rescale a vertical axis
12.2 Selecting only specific columns in a spreadsheet in Google Sheets mobile app
12.41 A random walk through data
12.5 Data exploration submitted as a presentation: Fibobelly example
Temporal and miscellany
Data source for thermal stress paper
Google sheet edit link for thermal stress paper
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Stats Telling the data story and presentations
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Microplastics
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12.4
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