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30-Day Money-Back Guarantee

This course includes:

  • 2.5 hours on-demand video
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Teaching & Academics Math Statistics

Introduction to Statistics

Introductory Statistics as Covered in the Social, Behavioral, and Natural Sciences
Rating: 4.4 out of 54.4 (485 ratings)
1,962 students
Created by Quantitative Specialists
Last updated 3/2018
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Understand and learn how to calculate a number of different descriptive statistics
  • Increase your quantitative and numerical reasoning skills!
  • Increase marketable job skills in data analytics

Requirements

  • No special software or other materials are required.

Description

November, 2019

In the course, you will learn how to easily and effectively analyze and interpret data involving introductory statistics. The following topics are covered in this course:

Scales of measurement - nominal, ordinal, interval, ratio. 

  • Goal/Learning Objective: Easily understand the often-confused scales of measurement covered in most statistics texts.

Central Tendency - mean, median, and mode are illustrated along with practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean. 

  • Goals/Learning Objectives: Summarize a set of data, find the center location in a distribution of scores, understand and identify the location of measures of central tendency in skewed distributions, understand and interpret how to find the overall or combined mean for two different sets of data.

Variability - How to calculate the standard deviation and variance as well as how to interpret percentiles are provided in simple and clear language. 

  • Goals/Learning Objectives: Understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scores (for example, the 95th percentile).

Charts and Graphs - How to calculate a cumulative frequency distribution table as well as how to calculate a stem and leaf plot is illustrated. 

  • Goals/Learning Objectives: Learn how to easily organize, summarize, understand, and explain a set of numbers.

Probability, the Normal Curve and z-Scores - An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scores

  • Goals/Learning Objectives: Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores.

Bonus Features: Cement understanding with practice opportunities including several quizzes with complete video coverage of the solutions. 

Update: New Videos Added on Hypothesis Testing and on Correlation!    (See Sections 6 and 7 of the Course.)


Who this course is for:

  • Those interested in learning more about descriptive statistics should take this course (those interested only in inferential statistics should not take the course)

Course content

8 sections • 33 lectures • 2h 39m total length

  • Preview02:41
  • Preview11:02
  • Scales of Measurement
    4 questions

  • Mean, Median, and Mode (Measures of Central Tendency)
    05:46
  • Quiz - Mean, Median, and Mode
    5 questions
  • Video Review of Quiz - Mean, Median, and Mode
    04:12
  • Central Tendency and Skewed Distributions
    Processing..
  • Quiz - Central Tendency and Skewed Distributions
    3 questions
  • Video Review of Quiz - Central Tendency and Skewed Distributions
    02:44
  • The Weighted Mean
    04:42
  • The Weighted Mean
    3 questions
  • Video Review of Quiz - The Weighted Mean
    03:50

  • Percentiles
    05:55
  • Percentiles
    5 questions
  • Calculating the Standard Deviation and Variance – Step by Step
    06:29
  • Quiz - Standard Deviation and Variance
    2 questions
  • Video Review of Quiz - Standard Deviation and Variance
    07:11

  • How to Create a Frequency Distribution Table
    05:19
  • How to Create a Cumulative Frequency Distribution Table
    02:46
  • How to Create Stem and Leaf Plot
    03:14

  • Probability
    04:15
  • Normal Curve and z-Scores (68, 95, 99.7 Rule)
    06:57
  • Properties of the z Score Normal Distribution
    Preview03:27
  • Properties of the z Score Normal Distribution
    5 questions
  • Video Review of Quiz - Properties of the z-Score Normal Distribution
    02:52
  • Solving for z-Scores
    05:10
  • Solving for z-Scores
    5 questions
  • Video Review of Quiz - Solving for z-Scores
    04:22
  • Solving for X Given a z-Score
    05:45
  • Solving for X Given a z-Score
    5 questions
  • Video Review of Quiz - Solving for X Scores Given a z-Score
    05:45

  • Hypothesis Testing - Two Tailed Tests
    04:59
  • Two Tailed Hypothesis Tests - Examples
    04:43
  • Hypothesis Testing - One Tailed Tests
    05:45
  • One Tailed Hypothesis Tests - Examples
    05:17
  • Hypothesis Tests
    3 questions
  • Type I and Type II Errors Explained
    07:51
  • What is a P-Value?
    06:01
  • P Value = .000 ???
    02:40
  • P-values
    3 questions
  • Power
    03:03

  • How To Calculate a Correlation
    09:16
  • How To Test a Correlation for Significance
    04:56

  • Conclusion
    00:57

Instructor

Quantitative Specialists
Specializing in Statistics, Research Design, and Measurement
Quantitative  Specialists
  • 4.4 Instructor Rating
  • 3,097 Reviews
  • 15,388 Students
  • 9 Courses

Quantitative Specialists (QS) was founded by an award-winning university instructor who has taught statistics courses for over 15 years. At QS, we are passionate about all things statistical, especially in helping others understand this often-feared subject matter. Our focus is in helping you to succeed in all your statistics work!

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