Exploring Data (Your Path to Data Analysis)

Boost your statistical knowledge—Unleash your data analysis potential—Excel in data visualization techniques

Categorical Data

1 hr 20 min 13 Examples

Introduction to Video: Understanding Data
Overview of Statistics, Element, Variable, Data, Inference, and Descriptive Stat
Types of Data: Categorical, Quantitative Discrete, and Quantitative Continuous
Identify the type of data presented (Problems #1-10)
Understanding data distribution and how to display categorical data
Given exam scores create a frequency table, relative frequency table, and cumulative frequency table (Problem #11a-c)
Given exam scores create a pie chart and bar graph (Problem #11d-e)
Overview of Contingency tables, join frequency, marginal frequency and marginal and conditional distribution
Given two-way table find totals, relative frequency, and marginal frequencies (Problem #12a-e)
Given two-way table find conditional distribution tables (Problem #12f)
Given contingency table find relative and marginal frequencies and side-by-side bar graph comparing the data (Problem #13)

1 hr 12 min 13 Examples

Introduction to Video: Displaying Quantitative Data
Overview of Univariate, Bivariate, Multivariate Data and Dot plots with Examples #1-2
Creating Stem-and-Leaf Plots with Examples #3-5
Create a back-to-back stem plot (Example #6)
Overview of how to create a Histogram using frequencies, relative frequencies and cumulative frequencies (Example #7)
Create a histogram given the data set (Examples #8-9)
Graphically display of a distribution important features, acronym, and understanding skewed distributions
Describe the distribution (Examples #10-13)

1 hr 08 min 10 Examples

Introduction to Video: Measuring Center
How do we find the Range, Mean, Median and Mode? with Example 1
How do we find the IQR? (Examples #2-3)
How do we use the IQR to determine Outliers? (Example #4)
Creating Box Plots and finding 5-summary statistics (Example #5)
Create a box and whisker plot and identify outliers (Example #6)
Describe the distribution given a box-plot (Example #7)
Finding Variance and Standard Deviation (Example #8)
Find all the measures of center of spread and determine which measures of center should be used for a given distribution (Examples #9-10)

1 hr 03 min 11 Examples

Introduction to Video: Describing Locations in Distributions
What are percentiles and how to find them? (Examples #1-2)
Overview of Cumulative Relative Frequency (Ogive) Graphs
Create an Ogive Graph and interpret your results (Example #3)
Understanding Cumulative Relative Frequency and Skewed Distributions
How do we standardize distributions? Finding standard values (z-scores) for data
Find the z-score or use the z-score to find the observed value (Examples #4-6)
How do we transform datasets and what does it do to the center, spread and shape?
What is a density curve? What are the properties of a density curve?
Given a density curve, determine the location of the mean, median and mode (Examples #7-10)
Given sample data find stemplot, percentiles, z-score, summary statistics, and transform data (Example #11)

57 min 5 Examples

Introduction to Video: Normal Distributions Review
Properties of Normal Distributions and Approximating using the Empirical Rule
Use the 68-95-99.7 Rule to find desired percentages (Examples #1-2)
Standard Normal Distributions (Example #3)
Use the standard normal distribution to find percentages (Example #4)
Find the mean and standard deviation using the standard normal distribution and systems of equations (Example #5)

40 min 5 Examples

Introduction to Video: Sampling and Surveys
Overview of Population, Sample, Surveys, Bias, and Bad Sampling
What are the four types of Sampling Bias and what makes for Good Sampling?
Identify the population, sample and bias (Example #1)
Using a Table of Random Digits, create a sample (Example #2)
What type of sampling (SRS, Cluster Sampling, Stratified Sampling, Systematic Sampling) is being used (Example #3)
Identifying wording bias (Example #4)
Determine whether the numerical value is a parameter or a statistic (Example #5)

1 hr 06 min 11 Examples

Introduction to Video: Experiments
Observational Study vs Experimental Study and Response and Explanatory Variables (Examples #1-4)
Identify the response and explanatory variables and the experimental units and treatment (Examples #5-6)
Introduction of lurking variables and confounding with ice cream and homicide example
Lurking variables, Confounding, Placebo Effect, Single Blind and Double Blind Experiments (Example #7)
What was the placebo effect and was the experiment single or double blind? (Example #8)
Characteristics of a well designed and constructed experiment that is statistically significant
Overview of Complete Randomized Design, Block Design and Matched Pair Design
Design and experiment using complete randomized design or a block design (Examples #9-10)
Identify the response and explanatory variables, experimental units, lurking variables, and design an experiment to test a new drug (Example #11)

1 hr 59 min 22 Problems

Identify as Categorical or Quantitative (Problem 1)
Create dot plot, stem-plot, histogram and approximate shape and center (Problem 2)
Identify summary statistics and any outliers, create box plot, and describe the distribution(Problem 3)
Given the two-way table find marginal values and conditional distributions (Problem 4)
Sketch the normal distribution, find z-scores, and determine probabilities (Problem 5)
Using the cumulative frequency graph (Ogive graph) determine the percentiles (Problem 6)
For the following scenario determine the statistic, parameter, population, sample and parameter of interest (Problem 7)
Design a completely random experiment, an experiment using blocking, and determine any lurking variables (Problem 8)
Given a survey determine population and statistic and any potential problems (Problem 9)
Explain how to use a line of random digits to select a simple random sample (Problem 10)
Complete a two-way frequency table and determine probabilities (Problem 11)
Using a bar graph create a contingency table and determine probabilities (Problem 12)
Determine the type of bias (Problem 13)
For the following scenario would you use the mean or median to determine center? (Problem 14)
Determine True or False (Problems #15-22)