WGU MSN paper
BEC1 Study guide – Updated (please discard any other study guide currently in your possession and replace it with this one) – only 33 pages. Yah!!
Introduction (Chapter 1 – Munro e-book)
Know the definition of population, sample, parameter, & statistic
Be able to identify and/or provide examples of descriptive statistics & inferential statistics
Know the properties of & be able to identify or provide examples of quantitative vs. categorical variables Basic Concepts (Chapter 2 – Munro e-book) Know the definition of data, individuals, variables, independent variable, dependent variable, random assignment, treatment group, and control group.
Know the properties of the 4 levels of measurement (nominal, ordinal, interval, ratio)
Know the properties of discrete and continuous variables
Know and understand the properties that distinguish experimental methods from correlational methods Displaying Data (Chapter 2 – Munro e-Book) Know what a distribution is and why examining a distribution can be helpful/useful
Know how to interpret information from:
Simple frequency distributions (grouped & ungrouped*)
Relative frequency distributions (proportions* & percents*)
Cumulative frequency distributions* Histograms
Bar graphs* Stem-and-leaf displays
You also should know how to construct those with an * beside them
Know the definition of percentile rank
Be able to identify and/or describe different shapes of distributions:
Normal, symmetrical, skewed, unimodal, & bimodal distributions Central Tendency (chapter 2 – Munro e-book)
Understand conceptually each of the 3 measures of central tendency: Mode, Median & Mean
Know how to compute the mean, median, & mode
Be sure to know how to find the median when: N is odd N is even
Know how to determine the shape of a distribution based on info about central tendency (& vice versa)
What is the fundamental
Introduction (Chapter 1 – Munro e-book)
Know the definition of population, sample, parameter, & statistic
Be able to identify and/or provide examples of descriptive statistics & inferential statistics
Know the properties of & be able to identify or provide examples of quantitative vs. categorical variables Basic Concepts (Chapter 2 – Munro e-book) Know the definition of data, individuals, variables, independent variable, dependent variable, random assignment, treatment group, and control group.
Know the properties of the 4 levels of measurement (nominal, ordinal, interval, ratio)
Know the properties of discrete and continuous variables
Know and understand the properties that distinguish experimental methods from correlational methods Displaying Data (Chapter 2 – Munro e-Book) Know what a distribution is and why examining a distribution can be helpful/useful
Know how to interpret information from:
Simple frequency distributions (grouped & ungrouped*)
Relative frequency distributions (proportions* & percents*)
Cumulative frequency distributions* Histograms
Bar graphs* Stem-and-leaf displays
You also should know how to construct those with an * beside them
Know the definition of percentile rank
Be able to identify and/or describe different shapes of distributions:
Normal, symmetrical, skewed, unimodal, & bimodal distributions Central Tendency (chapter 2 – Munro e-book)
Understand conceptually each of the 3 measures of central tendency: Mode, Median & Mean
Know how to compute the mean, median, & mode
Be sure to know how to find the median when: N is odd N is even
Know how to determine the shape of a distribution based on info about central tendency (& vice versa)
What is the fundamental