SYLLABUS 

Syllabus

RESOURCES

Normal Distribution Chart

Z Score Table

Probability Formulas 

(Independent and Dependent Probability Formulas)

Desmos Calculator Statistics Functions

SAMPLE SPACES

Sample Space: 3 Coins 

Sample Space: Two Dice

Sample Space: Playing Cards 

NOTES

29_Probability in Normal Density Curves

29_Probability in Normal Density Curves LESSON VIDEO

28_Probability in Density Curves

28_Probability in a Density Curve LESSON VIDEO

27_DiscreteRandomVariable_Part4

27_Standard Deviation of a Discrete Random Variable LESSON VIDEO

Standard deviation of a discrete random variable

26_DiscreteRandomVariable_Part3

Mean (expected value) of a discrete random variable

25_DiscreteRandomVariable_Part2

Expected Value

24_DiscreteRandomVariable_Part1

(Constructing probability distributions, Proabability models, Probability with discrete random variables)

23_Counting Permutations Combinations

(The counting principle, Permutations, Combinations, Permutations and combinations, Probability with permutations and combinations)

22_Probability Part 4

(Dependent probability, calculating conditional probability, dependent and independent events)

21_Probability Part 3

(Sample space for compound events, Independent probability, Probabilities of compound events, Probaility of "at-least one" success)

20_Probability Part 2

(Experimental probabiltity, Making predictions with probability, Interpreting results of simulations, Adding probabilities, Two-way tables, Venn diagrams, & probability)

19_Probability Part 1

(Siple probability, Comparing probability, Subsets of sample spaces, Basic set notation)

17_Study Design Part 1

(Statistical questions, Valid claims, Making inferences from random samples, Identifying the population and sample)

16_Exploring Bivariate Numerical Data Part 3

(Calculating and interpreting residuals, Calculating the equation of the least-square regression line, Interpreting slope and y-intercept, Residual points, Influential points)

15_Exploring Bivariate Numerical Data Part 2

(Correlation coefficient intuition, Eyeballing line of best fit, Estimating slope of line of best fit, Estimating equations of line of best fit)

14_Exploring Bivariate Numerical Data Part 1

(Constructing scatter plots, Making appropriate scatter plots, Positive and negative linear associations from scatter plots, Describing trends in scatter plots)

13_Modeling Data Distributions Part 2

(Empirical rule, Normal Distributions, Normal calculations in reverse)

12_Modeling Data Distributions Part 1

(Calculating percentiles, Calculating z-scores, Transforming data, Properties of desity curves, Area under density curves)

11_Summarizing Quantitative Data Part 4

(Creating box plots, reading box plots, Interpreting quartiles, Identifying outliers, Mean Absolute Deviation (MAD))

10_Summarizing Quantitative Data Part 3

(Interquartile range (IQR); Standard deviation of a population; variance; sample and population standard deviation)

09_Summarizing Quantitative Data Part 2

(Effects of shifting, adding, & removing a data point; Missing value given the mean; median & range puzzlers)

07_Displaying and Comparing Quantitative Data

06_Shapes of Distributions Clusters Gaps Peaks Outliers

05_Marginal and Conditional Distributions

04_Two-way Relative Frequency Tables

03_Two-way Tables

(Read two-way...

02_Analyzing one categorical variable

(Individuals, variables, and categorical & quantitative data; Read picture graphs; Create bar graphs)

01_Intro to Stats

Syllabus from WCC