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  • Kinds of Data in Statistics
    Course Introduction
    Course Syllabus
    Unit 1: Introduction to Statistical Analysis
    1.1: Why Do We Need to Study Statistical Analysis as Part of a Business Program?
    Why Do We Need to Study Statistical Analysis as Part of a Business Program?
    1.2: Measuring Data
    Definitions of Statistics, Probability, and Key Terms
    Kinds of Data in Statistics
    1.3: Measures of Spread and Data
    Variance and Standard Deviation
    Descriptive Statistics
    1.4: Spreadsheet Exercises: Measures of Central Tendency and Spread
    Measures of Central Tendency: Mode, Median, Mean, and Midrange
    Practice: Measures of Middle and Spread
    1.5: Spreadsheet Exercises: Graphs of Histograms and Frequency Tables
    Graphs and Charts
    Shapes of Distributions
    Unit 1 Problem Set and Assessment
    Descriptive Statistics Homework
    Unit 1 Assessment
    Unit 2: Counting, Probability, and Probability Distributions
    2.1: Counting
    Terminology
    Counting and Probability
    2.2: Theories of Probability
    Independent and Mutually Exclusive Events
    Venn Diagrams
    2.3: Set Theory
    Probability with Playing Cards and Venn Diagrams
    Addition Rule for Probability
    Two Basic Rules of Probability
    Set Theory
    2.4: Probability Fundamentals
    Properties of Continuous Probability Density Functions
    Probability Fundamentals
    2.5: Probability Distributions and the Binomial Distribution
    Probability Density Functions and Random Variables
    Discrete Random Variables
    Probability Distributions
    Unit 2 Problem Set and Assessment
    Probability Homework
    Discrete Random Variables Homework
    Unit 2 Assessment
    Unit 3: The Normal Distribution
    3.1: The Normal Distribution
    Qualitative Sense of Normal Distributions
    The Central Limit Theorem
    3.2: Practice Problems
    Normal Distribution Problems: Z-score
    More Empirical Rule and Z-score Practice
    Unit 3 Problem Set and Assessment
    Practice: The Normal Distribution
    Unit 3 Assessment
    Unit 4: Sampling and Sampling Distributions
    4.1: Sampling and Sampling Distributions
    Sampling Distribution of the Sample Mean
    Calculating the Sample Size n: Continuous and Binary Random Variables
    Sampling and Sampling Distributions
    Unit 4 Problem Set and Assessment
    Sampling and Data Homework
    Unit 4 Assessment
    Unit 5: Estimation and Hypothesis Testing
    5.1: Estimation and Confidence Intervals
    Confidence Intervals
    Confidence Intervals and Estimating Parameters
    Computing Confidence Intervals
    5.2: Hypothesis Testing
    Hypothesis Testing and P-values
    Hypothesis Testing with One Sample
    Hypothesis Testing
    5.3: Testing Equality of Two Percentages
    Comparing Population Proportions
    Hypothesis Testing with Two Samples
    Hypothesis Testing
    5.4: The Chi-Squared Test for Goodness of Fit
    Introduction to the Chi-Square Distribution
    The Chi-Square Distribution
    Unit 5 Problem Set and Assessment
    Confidence Intervals Homework
    Unit 5 Assessment
    Unit 6: Correlation and Regression
    6.1 Working with More Than One Variable
    Linear Regression and Correlation
    Examples of Univariate and Multivariate Data
    6.2: Correlation and Association
    The Correlation Coefficient
    6.3: Regression
    Linear Regression
    6.4: Spreadsheet Activity for Unit 6
    Paired Data and Scatter Diagrams
    Spreadsheet Activity
    Unit 6 Problem Set and Assessment
    Linear Regression and Correlation Homework
    Unit 6 Assessment
    Study Guide
    BUS204 Study Guide
    Course Feedback Survey
    Course Feedback Survey
    Certificate Final Exam
    BUS204: Certificate Final Exam
    Saylor Direct Credit
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  1. BUS204: Business Statistics
  2. Unit 1: Introduction to Statistical Analysis
  3. 1.2: Measuring Data
  4. Kinds of Data in Statistics

Kinds of Data in Statistics

Completion requirements

Watch the first video from 1:03:00 to the end, and the second video until 54:00. These videos explain the foundations of statistics, what data is, and the various types of data we'll be exploring.


Source: Philip Stark, https://www.youtube.com/watch?v=vgdKXWxpxzQ&t=3780s, https://www.youtube.com/watch?v=o6qAuV7AP64
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Last modified: Friday, October 15, 2021, 9:05 AM
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Saylor Academy © 2010-2025 except as otherwise noted. Excluding course final exams, content authored by Saylor Academy is available under a Creative Commons Attribution 3.0 Unported license. Third-party materials are the copyright of their respective owners and shared under various licenses. See detailed licensing information. Saylor Academy®, Saylor.org®, and Harnessing Technology to Make Education Free® are trade names of the Constitution Foundation, a 501(c)(3) organization through which our educational activities are conducted.