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***HINT: IF YOU WATCH ALL OF THE VIDEOS FIRST WHILE TAKING LIGHT NOTES, THEN THE CONCEPT QUESTIONS WILL MAKE MUCH MORE SENSE.
(CLICK FOR SUMMER VOCAB iFLASHCARDS)
SUMMER VIDEOS FOR STUDENTS:
NEW ORDER!!!!!!
*inserted video 1A and FIVE
*SUMMER VIDEO 1A- THE INTRO
SUMMER VIDEO ONE
SUMMER VIDEO TWO
SUMMER VIDEO THREE
SUMMER VIDEO FOUR
*SUMMER VIDEO FIVE
SUMMER VIDEO SIX (important)
(CLICK FOR CONCEPT PRACTICE TEST- PRINT AND TRY IT)
UNIT ONE VIDEOS
CLICK A TOPIC FROM THIS LIST TO WATCH THE VIDEO
1. INTRO TO 5 NUMBER SUMMARY WITH BOXPLOT
2. MORE 5 NUMBER SUMMARY: BOXPLOT WITH OUTLIERS AND FENCES
3. CONVERT (or match) BOXPLOT TO HISTOGRAM- FISH TANK METHOD
4. MAKE A BOX PLOT ON YO TI CALCULATOR AND COMPARE TO ONE DONE BY HAND
5. CONTINGENCY TABLES (two-way tables) HOW TO READ THEM - MARGINAL AND CONDITIONAL DISTRIBUTIONS
6. INDEPENDENCE AND ASSOCIATION- HOW TO TELL FROM CONTINGENCY TABLE
7. NORMAL MODEL PREREQUISITE: WHAT IS THE STANDARD DEVIATION? and WHAT DOES THAT FORMULA SAY????
8. NORMAL MODELPART 1: USING THE EMPIRICAL RULE: 68 95 99.7 and intro to z-score
9. NORMAL MODEL PART 2: NORMALCDF AND INVNORM... INTRO TO THE FLO-CHART
10. NORMAL MODEL PART 3: Z-SCORE FORMULA... FLO-CHART CONTINUED
11. NORMAL MODEL PART 4: USING THE FLO CHART: SOLVING NORMAL MODEL PROBLEMS. GOING FROM DATA to Z to PERCENTILE AND FROM PERCENTILE to Z to DATA VALUE.
12. SHIFTING AND SCALING DATA: WHAT HAPPENS TO SUMMARY STATS?
13. MEAN MEDIAN MODE: HOW TO THINK ABOUT THEM ON THE FLY
14. WHEN TO USE MEAN/ST.DEV or MEDIAN/IQR
UNIT TWO VIDEOS
Bivariate Data- Regression
1. Intro to Regression: Scatterplots,Describing them,how to get them on your TI
2. More Regression.. Correlation and r value... what is it??? more TI
3. R VALUE... A DEEPER LOOK INTO THE CALCULATION! BY HAND!
4. TI STUFF- HOW TO GET EQUATION, REGRESSION LINE AND RESIDUALS PLOT ON YOUR TI 83- cool tips for understanding
5. WHAT ARE RESIDUALS? How to calculate a residual, and how to find an actual value when given a residual
6. Regression Formulas on the Formula Sheet: Where do they come from?
7. How to use the regression formulas to make a linear model (equation) from summary statistics.. What does that r (Sy/Sx) mean??
8. Interpreting (translating) intercept and slope into English so that they make sense in CONTEXT
9. Interpreting r-squared in context. A tale of two Pizzerias
10. Leverage, Influence and Outliers... What are they? How do they impact the strength of correlation (r) ?
UNIT 4 PROBABLILTY
1. Introduction to Probability- basic notation and concepts
2. Into 2: Independence and Disjoint
3. Intro 3: General Addition rule, OR, UNION
4. Intro 4: General Multiplication rule, AND, INTERSECTION
5. Recap of videos 1-4 - PROBABILITY RULES and two equations for independence
6. Factorials, Combinations and Permutations
7. Binomial Probability - Formula and Calculator (x successes)
8. Using BINOPDF and BINOCDF
9. Intro to RANDOM VARIABLES - mean and St. Dev
10. Combining random variables (mean and st. dev)
11. Three normal models (individual quant, group quant, group cat)
12. Geometric Probability (first success)
13. Comparing geometric to binomial distributions (first success vs x successes)
14. Solving probability problems using VENN and/or a TABLE
15. TREE DIAGRAM problems (if test says positive, how likely are you actually positive?)
UNIT 5 VIDEOS
INFERENCE- SAMPLING DISTIBUTIONS - CONFIDENCE INTERVALS - HYPOTHESIS TESTING
1. Introduction to SAMPLING distributions
2. CENTRAL LIMIT THEOREM and sampling distributions for sample means
3, Don't Go over the weight limit: example of a sampling dist for means problem
4. Lots of Cheese Lovers; Sampling distribution for proportions problem
5. More Cheese lovers: Using normal approx to binomial instead of sampling dist for props
6 .CONDITIONS FOR 1-PROPORTION STUFF
7. Intro to Confidence Intervals
8. More Confidence intervals: Focus on CRITICAL Z (Z*)
9. Quick Confidence interval for proportions example
10. What is a P Value?
11. Writing Null and Alternative Hypotheses
12. The basic logic of Hypothesis Testing
13. Hypothesis test for 1 proportion
1. Introduction to Probability- basic notation and concepts
2. Into 2: Independence and Disjoint
3. Intro 3: General Addition rule, OR, UNION
4. Intro 4: General Multiplication rule, AND, INTERSECTION
5. Recap of videos 1-4 - PROBABILITY RULES and two equations for independence
6. Factorials, Combinations and Permutations
7. Binomial Probability - Formula and Calculator (x successes)
8. Using BINOPDF and BINOCDF
9. Intro to RANDOM VARIABLES - mean and St. Dev
10. Combining random variables (mean and st. dev)
11. Three normal models (individual quant, group quant, group cat)
12. Geometric Probability (first success)
13. Comparing geometric to binomial distributions (first success vs x successes)
14. Solving probability problems using VENN and/or a TABLE
15. TREE DIAGRAM problems (if test says positive, how likely are you actually positive?)
UNIT 5 VIDEOS
INFERENCE- SAMPLING DISTIBUTIONS - CONFIDENCE INTERVALS - HYPOTHESIS TESTING
1. Introduction to SAMPLING distributions
2. CENTRAL LIMIT THEOREM and sampling distributions for sample means
3, Don't Go over the weight limit: example of a sampling dist for means problem
4. Lots of Cheese Lovers; Sampling distribution for proportions problem
5. More Cheese lovers: Using normal approx to binomial instead of sampling dist for props
6 .CONDITIONS FOR 1-PROPORTION STUFF
7. Intro to Confidence Intervals
8. More Confidence intervals: Focus on CRITICAL Z (Z*)
9. Quick Confidence interval for proportions example
10. What is a P Value?
11. Writing Null and Alternative Hypotheses
12. The basic logic of Hypothesis Testing
13. Hypothesis test for 1 proportion
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