AP Stat Essential Stuff Final Review Before AP Exam May 2007.

Slides:



Advertisements
Similar presentations
Which Test? Which Test? Explorin g Data Explorin g Data Planning a Study Planning a Study Anticipat.
Advertisements

AP Statistics Course Review.
AP Stats Review. Assume that the probability that a baseball player will get a hit in any one at-bat is Give an expression for the probability.
Inferential Statistics
Binomial & Geometric Random Variables
Data Analysis Statistics. Inferential statistics.
AP Stats Test Review  What are the four parts of the course? Inference, Experimental Design, Probability, and Data Analysis  How many multiple choice.
Inference for regression - Simple linear regression
You are about to take the AP Stats test and…. MAKE SURE YOU HAVE… MULTIPLE PENCILS… 1 OR 2 CALCULATORS… EXTRA BATTERIES… EAT A FULL MEAL BEFOREHAND!
Chapter 9 Comparing More than Two Means. Review of Simulation-Based Tests  One proportion:  We created a null distribution by flipping a coin, rolling.
More About Significance Tests
AP Stats Review.
1 Chapters 6-8. UNIT 2 VOCABULARY – Chap 6 2 ( 2) THE NOTATION “P” REPRESENTS THE TRUE PROBABILITY OF AN EVENT HAPPENING, ACCORDING TO AN IDEAL DISTRIBUTION.
The Practice of Statistics Third Edition Chapter 13: Comparing Two Population Parameters Copyright © 2008 by W. H. Freeman & Company Daniel S. Yates.
Probability Distributions
Final Exam Review!!!!!. Experimental Design Random Sampling Stratified Sampling Convenience Sampling Cluster Sampling Systematic Sampling Multistage Sampling.
AP Stat Review Descriptive Statistics Grab Bag Probability
Critical Issues for Helping Students Perform Inference Successfully and AP Stat Exam Tips! Mr. Lynch AP Statistics.
LECTURE 14 TUESDAY, 13 OCTOBER STA 291 Fall
1 Chapter 10: Introduction to Inference. 2 Inference Inference is the statistical process by which we use information collected from a sample to infer.
AP STATS EXAM REVIEW Chapter 8 Chapter 13 and 14 Chapter 11 and 12 Chapter 9 and Chapter 10 Chapter 7.
Section 9-1: Inference for Slope and Correlation Section 9-3: Confidence and Prediction Intervals Visit the Maths Study Centre.
AP Statistics February Coin Flipping Example  On a scrap paper record the results of my coin flips. 2.
Section 10.1 Confidence Intervals
Reasoning in Psychology Using Statistics
Fitting probability models to frequency data. Review - proportions Data: discrete nominal variable with two states (“success” and “failure”) You can do.
Section 10.1 Estimating with Confidence AP Statistics February 11 th, 2011.
CHAPTER 15: Tests of Significance The Basics ESSENTIAL STATISTICS Second Edition David S. Moore, William I. Notz, and Michael A. Fligner Lecture Presentation.
CHAPTER 9 Testing a Claim
How likely is it that…..?. The Law of Large Numbers says that the more times you repeat an experiment the closer the relative frequency of an event will.
Dan Piett STAT West Virginia University Lecture 12.
Confidence Intervals and Hypothesis Testing Using and.
Statistical Inference Drawing conclusions (“to infer”) about a population based upon data from a sample. Drawing conclusions (“to infer”) about a population.
Math 4030 Final Exam Review. Probability (Continuous) Definition of pdf (axioms, finding k) Cdf and probability (integration) Mean and variance (short-cut.
AP Statistics Chapter 11 Notes. Significance Test & Hypothesis Significance test: a formal procedure for comparing observed data with a hypothesis whose.
Section 10.2: Tests of Significance Hypothesis Testing Null and Alternative Hypothesis P-value Statistically Significant.
Course Review. Distributions What are the important aspects needed to describe a distribution of one variable? List three types of graphs that could be.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 9 Testing a Claim 9.1 Significance Tests:
CHAPTER 15: Tests of Significance The Basics ESSENTIAL STATISTICS Second Edition David S. Moore, William I. Notz, and Michael A. Fligner Lecture Presentation.
Marginal Distribution Conditional Distribution. Side by Side Bar Graph Segmented Bar Graph Dotplot Stemplot Histogram.
AP Stats Check In Where we’ve been… Chapter 7…Chapter 8… Where we are going… Significance Tests!! –Ch 9 Tests about a population proportion –Ch 9Tests.
We will use the 2012 AP Grade Conversion Chart for Saturday’s Mock Exam.
Review Day 2 May 4 th Probability Events are independent if the outcome of one event does not influence the outcome of any other event Events are.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 9 Testing a Claim 9.1 Significance Tests:
Howard Community College
Ready for the AP Test?.
AP Statistics Final Exam Review!!!!!.
Anticipating Patterns Statistical Inference
AP Stat Review Know Your Book!
Unit 5: Hypothesis Testing
CHAPTER 9 Testing a Claim
CHAPTER 9 Testing a Claim
AP STATISTICS REVIEW INFERENCE
Reasoning in Psychology Using Statistics
CHAPTER 9 Testing a Claim
Section 10.2: Tests of Significance
Chapter 9: testing a claim
Probability Key Questions
CHAPTER 9 Testing a Claim
Reasoning in Psychology Using Statistics
When You See (This), You Think (That)
Significance Tests: The Basics
CHAPTER 9 Testing a Claim
Day 68 Agenda: 30 minute workday on Hypothesis Test --- you have 9 worksheets to use as practice Begin Ch 15 (last topic)
Reasoning in Psychology Using Statistics
CHAPTER 9 Testing a Claim
CHAPTER 9 Testing a Claim
CHAPTER 9 Testing a Claim
Presentation transcript:

AP Stat Essential Stuff Final Review Before AP Exam May 2007

Boxplots and Calculating Outliers 8, 10, 18, 18, 19, 19, 19, 24, 32, 45 Median: Q1: Q3: Outliers?

Commenting on Distributions:

Linear Regression Draw an LSRL. Now add a data point that would have a positive residual. Show how it is calculated. If r=.6932 explain what this means, what if r=.4522, r= -.89, r=.02 Explain an r-squared of 0.88 if the variables were age (x) and weight (y)

Commenting on Scatterplots:

Cumulative Frequency Plot

Binomial vs. Geometric

PDF vs CDF

Examples I shoot 10 free throws, If I am a 80% FT shooter, what is probability that I make exactly 7 or 8? How many shots, on average, before I miss? What is probability my first miss is on or before my 4th shot?

Rules o’ Probability If two events are disjoint (mutually exclusive), they have no outcomes in common. For example, in craps, rolling a 5 AND a 7 is disjoint, one roll can’t produce both outcomes. Therefore (for disjoint events): AND (for disjoint events)…….. S A B

Rules o’ Probability Continued If two events are NOT disjoint (not mutually exclusive) but ARE independent. For example, roll 2 dice Event A: Die 1 Shows a 6 P(A)=1/6 Event B: Die 2 Shows a 6 P(B)=1/6 P(A and B)= P(A)*P(B) = 1/6 * 1/6 = 1/36 =.028ish S A B A&B

Disjoint Events Are NOT Independent Hurting your brain? Just think…If I roll two die and add up the pips, what are the chances that I get a 5 and a 7. That’s why (in disjoint events) P(A and B)=0 S Roll 5 Roll 7

Conditional Probability I will flip a coin. If it lands heads I will study for 4 hours tonight. If it is tails, I will hang out with Gamburd and talk about Grey’s Anatomy. If I study for 4 hours I have a 90% chance of passing. If not, I have only a 50% chance of passing.

Conditional Probability 2 If I go ahead with my plan, what is the probability that I fail the test? Given that I passed the test, what is the probability that I had studied for 4 hours?

Binomial Probability If 3 coins flipped, X = # of Heads H T H T H T H T H T H T H T FLIP 1 FLIP 3 FLIP 2 3H, 0T 2H, 1T 1H, 2T 2H, 1T 1H, 2T 0H, 3T X P(X=0) = 1*P(H C ) 3 =.125 P(X=1) = 3*P(H C ) 2 P(H) =.375 P(X=2) = 3*P(H) 2 P(H C ) =.375 P(X=3) = 1*P(H) 3 =.125

Imagine doing P(5 heads in 9 flips) What we need is a formula… Insert binomial coefficient here…

Matched Pairs / Blocking Blocks or pairs should be similar with respect to what is being blocked for. Example, block for age and gender if there are two treatments. 22M, 25F, 34M, 40M, 28M, 49F, 32F, 44F How to assign treatments? “Describe a method”

Simulation Scheme Stopping Rule Count Non-Replacement

T versus Z Procedures Use T When: Use Z When:

Confidence Intervals Find Formula on Formula Sheet Estimate +/- (Critical Value)(SD of statistic)

CI Stuff Interpreting 99% CI (12.34, 15.56) - Mean age of first Kiss… Interpreting CL of 99%

MOE Problem We want a 95% CI for the percent of Priory students who prefer volleyball over basketball. It is assumed that 60% prefer Vball over Bball. What sample size will we need if the MOE is to be no more than 5%

Reading Computer Output Find LSRL if this data is showing age (x) and average wage per hour in Nuevo Sols (y) Construct a 95% CI if n=40 PredictorCoefSTDevT-Ratio P CONSTANT Age S = R-sq = 95.9%R-sq(adj) = 95.5%

Power and Error Wrap What you have to know: Explain Power, Type I, and Type II errors in context of the problem. Calculate P(Type I error) given  How to Decrease: Type I Error Type II Error How to increase Power

Errors Type I – Reject H 0 when it is actually true Usually not so bad Rejecting a “good” shipment Probability is equal to  Type II – Failing to Reject H 0 when it is actually false Usually bad Accepting a “bad” shipment Probability (  ) is a bear to calculate

Errors - #2 Decrease both Type I and II errors by: Increasing n Decrease Type II Errors by: Increasing  You end up rejecting more/failing to reject less Causes an increase in Type I errors

POWER Basically, how sure we are that we will not get a Type II error Power = 1 – P(Type II) OR Power = 1 - P(  ) Never will you be asked to compute (unless the probability of a type II error is given) Increase Power by: Increasing n (Sample size) Increase  (say from.01 to.05)

Interpreting P-Value In Context Say my null was: No difference between proportion of boys and girls in regards to handwashing after potty use My Alt Was: There is a difference… What if p=0.003, 0.599, 2.877?

Chi-Square Love Goodness of Fit Independence Homogeneity

Which one? Do It… I open 20 packs of M&M’s and get this: The Company says I should get the following proportions: Is there any evidence that they are not being truthful in their claim? RedOrangeYellowGreenBlueBrown RedOrangeYellowGreenBlueBrown 13%14%13%20%24%16%

Which one? Do It… I open 20 packs of Plain M&M’s and get this: My Friend opens 20 packs of peanut M&M’s and gets this: Is there any evidence of a difference in the distribution of colors between plain and peanut M&M’s? RedOrangeYellowGreenBlueBrown RedOrangeYellowGreenBlueBrown

Key Words To Look For: Chi Square Independence: Association, dependent, independent, link Chi Square Homogeneity: Difference, consistent, proportions, same, similar, distribution

Overall Tips Relax and read the question. Look for tips Example …..relationship between…. improvement…difference… Keep scoring in mind Guessing Penalty On FR, do #1 or #2, then try #6, read other questions and do in order of confidence

More tips Answer questions in context. Communication is key. Follow directions, look for words like explain, justify or describe. No “BullSnooting”, you are graded on everything you write, so if part of your answer is wrong, you will be marked down. Amount of space on a FR problem is not necessarily indicative of the amount of work you must show. If you can’t find an answer to one part, make something reasonable up and continue on to the next part of the problem

What to do now… Re-read the unit review notes Focus on things you have had trouble with. Check that you have: Your calc with batteries Pencils Sleep well the night before Kick some booty!!!!!!!!!!!