09:50

Using R to Estimate Probability Through Simulation

24:17

The Geometric Distribution: Expected Value, Probabilities with R using dgeom () and pgeom()

15:07

An Introduction to R Programming

12:19

An Introduction to R Markdown

06:20

Loading a CSV File Into R Studio - Setting the Working Directory

09:15

A Basic Introduction to R Studio

05:20

How to Calculate the Standard Deviation by Hand....An Example with Data

25:31

The Sampling Distribution of P-hat, The Sample Proportion. Includes Example problems.

10:42

Type 1 and Type 2 Errors | COVID-19 Antibody Testing Theory | False Positive | False Negative

06:40

Hypothesis Test for a Mean | One-Sided T-Test | "Greater Than" | FICO Scores | P-Value Method

06:57

Hypothesis Test for a Mean | P-Value Method | One-Sided T-Test | "Less than"

17:14

Hypothesis Test Explained | P-Value Method | Population Proportion |

14:27

Confidence Interval for A Population Mean Explained | T-Interval (population st. dev. unknown)

31:04

Confidence Interval for a Proportion | All You Need to Know | Invnorm TI-83 Ti-84

11:15

How to Make a Confidence Interval for a Population Proportion (90% and 95%) - By Hand

09:19

How to Make a Confidence Interval for a Population Mean (90% and 95%) - T-Distribution

24:44

Probability Examples: "and", "or", "given", independence, complement, Binomial Distribution (1 | 3)

23:58

Probability Examples: Sample Space, Probability Model, Binomial, Two-way Table, Conditional| 2 of 3

18:54

Probability Examples: Binomial, Discrete, Prob Dist, Expected Value, Mean, P(at least one) (3 of 3)

04:35

Find the Equation of a Line Through 2 Points. Slope-Intercept Form. y=mx+b. "How to"

07:14

Find the Exponential Equation Through 2 Points f(x) = ab^x How to

05:55

Find Exponential Equation Through 2 Points -Ti-83/Ti-84- Exponential Regression f(x)=ab^x "How to"

17:21

Hypothesis Test for a Population Mean. P-Value Method. Two-Sided T-Test w/ Pop St Dev. Unknown

18:19

Hypothesis Test Using P-Value Method for a Population Proportion: One-sided Z-Test

05:25

Exponential Population Growth Equation w/ 2 Points. f(x)=ab^x. "Exponential Regression"

09:19

Solving Logarithmic Equations | 3 Examples |

09:10

Solving Exponential Equations Using Logarithms | 3 Examples | log()

09:58

Find a Polynomial Function From a Graph w/ Least Possible Degree | Linear Factors and Multiplicity

05:47

Find the Inverse Function of f(x) = 6-x^(1/3)

09:58

What is a Polynomial? Examples, Leading Term, Leading Coefficient, End Behavior

05:53

How to Find the X and Y-Intercepts of the Linear Equation 5x+4y=4

04:33

Multiply Two Binomials Using FOIL: (10y^2-10)*(6y^2-6) Distribution

04:23

Find a Product Using Distribution. 5x*(6x^2-4x+2)

06:44

Solve the Linear Equation: 8*(x+3) = 64 using Distribution and Inverse Operations

10:12

Statistics Vocabulary: Data, Individual, Population, Sample, Parameter, Statistic, Inference

15:57

Find the Domain, X and Y Intercepts, Vertical/Horizontal Asymptotes of a Rational Function TI-83/84

04:34

Synthetic Division: Quotient and Remainder (3x^3 * x^2 * 5x + 4 ) / (x-7)

07:45

Polynomial Behavior: Leading Term, Degree, End Behavior, X and Y Intercepts, and Graph

19:53

Simple Linear Regression | Least-Squares | Weight vs MPG | Residual | Slope Y-Intercept |TI-83 TI-84

19:43

Statistics: Scatterplots and the Correlation Coefficient ( --- r ----)

12:34

Displaying a Quantitative Variable: Histograms & Distribution Shapes (Uniform, Symmetric, Skewed)

09:28

Statistics: Displaying Categorical Variable: Bar Graphs, Bar Charts, Pie Chart

12:10

Summarizing a Categorical Variable: Frequency, Proportion, Relative Frequency, Tables, Bargraph

05:16

Statistics: Vocabulary: Variable. Comparison of Quantitative vs. Qualitative (Categorical) Variables

06:14

Introductory Statistics: What Is A Parameter? (Includes Examples of Parameters and Populations)

08:20

Statistics: Distributions of a Discrete Variable: (Frequency and Relative Frequency)

02:21

Why Should You Care About Statistics?

06:49

Parameters vs. Statistics Explained: Population Mean vs Sample Mean

04:52

Introductory Statistics: Calculating The Median of a Set of Data

11:17

Statistics: Resistance & Measures of Center Explained | Mean vs. Median | Outliers/Skewed Data.

09:08

The Normal Distribution and The Empirical Rule

09:45

Statistics: Z Scores - How do we find them? What do they tell us? 2 Examples with IQ, Height.

07:35

Percentiles of a Quantitative Variable: What are they and what do they tell us? Includes Quartiles

12:53

The 5 Number Summary and the Boxplot, Finding outliers with 1.5*IQR Rule, Drawing the Boxplot,

09:00

Statistics: Vocabulary of Probability: "likelihood", "random", "long run". Ex w/ Coin Flips

06:04

Probability Vocabulary Explained : "Experiment", "Outcome", "Sample Space", "Event" and an Example

08:30

Classical Probabilities by Counting! - Properties, Probability Models, Examples

09:37

Probability Examples With a 6-Sided Die: "Complements", "P(A and B)", "P(A or B)"

15:10

Introductory Statistics: (Mutually Exclusive Events, Venn Diagrams, Examples finding P(A or B))

09:42

Conditional Probability Explained: Examples with Playing Cards.