Introduction to Trigonometry: Measuring Angles Inscribed in a Circle in Both Radians and Degrees
Sulock Math
Introduction to Trigonometry: Measuring Angles Inscribed in a Circle in Both Radians and Degrees
12:36
How to Calculate the Sample Standard Deviation by Hand....An Example with Data
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How to Calculate the Sample Standard Deviation by Hand....An Example with Data
5:20
The Sampling Distribution of P-hat, The Sample Proportion. Includes Example problems.
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The Sampling Distribution of P-hat, The Sample Proportion. Includes Example problems.
25:31
Type 1 and Type 2 Errors | COVID-19 Antibody Testing Theory | False Positive | False Negative
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Type 1 and Type 2 Errors | COVID-19 Antibody Testing Theory | False Positive | False Negative
10:42
Hypothesis Test for a Mean | One-Sided T-Test | "Greater Than" | FICO Scores | P-Value Method
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Hypothesis Test for a Mean | One-Sided T-Test | "Greater Than" | FICO Scores | P-Value Method
6:40
Hypothesis Test for a Mean | P-Value Method | One-Sided T-Test | "Less than"
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Hypothesis Test for a Mean | P-Value Method | One-Sided T-Test | "Less than"
6:57
Hypothesis Test Explained | P-Value Method | Population Proportion |
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Hypothesis Test Explained | P-Value Method | Population Proportion |
17:14
Confidence Interval for A Population Mean Explained | T-Interval (population st. dev. unknown)
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Confidence Interval for A Population Mean Explained | T-Interval (population st. dev. unknown)
14:27
Confidence Interval for a Proportion | All You Need to Know | Invnorm TI-83 Ti-84
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Confidence Interval for a Proportion | All You Need to Know | Invnorm TI-83 Ti-84
31:04
How to Make a Confidence Interval for a Population Proportion (90% and 95%) - By Hand
Sulock Math
How to Make a Confidence Interval for a Population Proportion (90% and 95%) - By Hand
11:15
Sulock Math Live Stream
Sulock Math
Sulock Math Live Stream
How to Make a Confidence Interval for a Population Mean (90% and 95%) - T-Distribution
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How to Make a Confidence Interval for a Population Mean (90% and 95%) - T-Distribution
9:19
Probability Examples: "and", "or", "given", independence, complement, Binomial Distribution (1 | 3)
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Probability Examples: "and", "or", "given", independence, complement, Binomial Distribution (1 | 3)
24:44
Probability Examples: Sample Space, Probability Model, Binomial, Two-way Table, Conditional| 2 of 3
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Probability Examples: Sample Space, Probability Model, Binomial, Two-way Table, Conditional| 2 of 3
23:58
Probability Examples: Binomial, Discrete, Prob Dist, Expected Value, Mean, P(at least one) (3 of 3)
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Probability Examples: Binomial, Discrete, Prob Dist, Expected Value, Mean, P(at least one) (3 of 3)
18:54
Hypothesis Test for a Population Mean. P-Value Method. Two-Sided T-Test w/ Pop St Dev. Unknown
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Hypothesis Test for a Population Mean. P-Value Method. Two-Sided T-Test w/ Pop St Dev. Unknown
17:21
Hypothesis Test Using P-Value Method for a Population Proportion: One-sided Z-Test
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Hypothesis Test Using P-Value Method for a Population Proportion: One-sided Z-Test
18:19
Statistics Vocabulary: Data, Individual, Population, Sample, Parameter, Statistic, Inference
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Statistics Vocabulary: Data, Individual, Population, Sample, Parameter, Statistic, Inference
10:12
Simple Linear Regression | Least-Squares | Weight vs MPG | Residual | Slope Y-Intercept |TI-83 TI-84
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Simple Linear Regression | Least-Squares | Weight vs MPG | Residual | Slope Y-Intercept |TI-83 TI-84
19:53
Statistics: Scatterplots and the Correlation Coefficient ( --- r ----)
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Statistics: Scatterplots and the Correlation Coefficient ( --- r ----)
19:43
Statistics: Vocabulary: Variable. Comparison of Quantitative vs. Qualitative (Categorical) Variables
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Statistics: Vocabulary: Variable. Comparison of Quantitative vs. Qualitative (Categorical) Variables
5:16
Introductory Statistics: What Is A Parameter? (Includes Examples of Parameters and Populations)
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Introductory Statistics: What Is A Parameter? (Includes Examples of Parameters and Populations)
6:14
Why Should You Care About Statistics?
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Why Should You Care About Statistics?
2:21
Parameters vs. Statistics Explained: Population Mean vs Sample Mean
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Parameters vs. Statistics Explained: Population Mean vs Sample Mean
6:49
The Normal Distribution and The Empirical Rule
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The Normal Distribution and The Empirical Rule
9:08
Statistics: Z Scores - How do we find them? What do they tell us? 2 Examples with IQ, Height.
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Statistics: Z Scores - How do we find them? What do they tell us? 2 Examples with IQ, Height.
9:45
Percentiles of a Quantitative Variable: What are they and what do they tell us? Includes Quartiles
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Percentiles of a Quantitative Variable: What are they and what do they tell us? Includes Quartiles
7:35
The 5 Number Summary and the Boxplot, Finding outliers with 1.5*IQR Rule, Drawing the Boxplot,
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The 5 Number Summary and the Boxplot, Finding outliers with 1.5*IQR Rule, Drawing the Boxplot,
12:53
Statistics: Vocabulary of Probability: "likelihood", "random", "long run". Ex w/ Coin Flips
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Statistics: Vocabulary of Probability: "likelihood", "random", "long run". Ex w/ Coin Flips
9:00
Probability Vocabulary Explained : "Experiment", "Outcome", "Sample Space", "Event" and an Example
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Probability Vocabulary Explained : "Experiment", "Outcome", "Sample Space", "Event" and an Example
6:04
Classical Probabilities by Counting! - Properties, Probability Models, Examples
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Classical Probabilities by Counting! - Properties, Probability Models, Examples
8:30
Probability Examples With a 6-Sided Die: "Complements", "P(A and B)", "P(A or B)"
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Probability Examples With a 6-Sided Die: "Complements", "P(A and B)", "P(A or B)"
9:37
Introductory Statistics: (Mutually Exclusive Events, Venn Diagrams, Examples finding P(A or B))
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Introductory Statistics: (Mutually Exclusive Events, Venn Diagrams, Examples finding P(A or B))
15:10
Conditional Probability Explained: Examples with Playing Cards.
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Conditional Probability Explained: Examples with Playing Cards.
9:42
Intro Statistics: Probability: Independent Events (How to Determine if 2 Events are Independent)
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Intro Statistics: Probability: Independent Events (How to Determine if 2 Events are Independent)
8:03
Intro Statistics: The Multiplication Rule (For Independent Events) -- P(A then B) = P(A)* (P(B)
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Intro Statistics: The Multiplication Rule (For Independent Events) -- P(A then B) = P(A)* (P(B)
12:33
The Binomial Distribution w/ Steph Curry Shooting Free Throws - TI-83/84 -binompdf() - binomcdf()
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The Binomial Distribution w/ Steph Curry Shooting Free Throws - TI-83/84 -binompdf() - binomcdf()
27:20
TI-83 Normal Distribution Examples w/ normalcdf() TI-84 No Z-scores Necessary!
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TI-83 Normal Distribution Examples w/ normalcdf() TI-84 No Z-scores Necessary!
9:55
The Sampling Distribution of The Sample Mean | X-Bar
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The Sampling Distribution of The Sample Mean | X-Bar
12:16
Examples w/ Normal Distribution. Probability, Percentiles: normalcdf() invNorm() TI-83 TI-84
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Examples w/ Normal Distribution. Probability, Percentiles: normalcdf() invNorm() TI-83 TI-84
16:47
Normal Distribution Probabilities, Proportions w/ TI-83 TI-84, normalcdf()
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Normal Distribution Probabilities, Proportions w/ TI-83 TI-84, normalcdf()
7:13
Confidence Interval for Population Proportion. - "What proportion of CCD students like Kanye West?"
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Confidence Interval for Population Proportion. - "What proportion of CCD students like Kanye West?"
19:59
Confidence Interval for Population Mean by Hand. Includes 95% and 99% intervals.
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Confidence Interval for Population Mean by Hand. Includes 95% and 99% intervals.
21:18
The Standard Deviation. What is it? What is its purpose? How do you find it?
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The Standard Deviation. What is it? What is its purpose? How do you find it?
9:55