AP Statistics

Scheduled Hours

AP Statistics

Mon. 8:00-6 PM

Tues. 8:00-6 PM

Wed. 8:00-6 PM

Thurs. 8:00-4 PM

Fri. 8:00-12 PM

Contact Information

Kevin BookerEmail: [email protected]: (407)234-1887

Semester 1 Announcements

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AP Statistics Semester 1 Announcements

Week 16

Week 11

Week 7

Week 12

Week 8

Week 4Week 3

Week 15Week 14

Week 9

Week 5

Week 10

Week 6

Week 2Week 1

Week 13

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Contact InformationEmail: [email protected] Phone: (407)234-1887

AP StatisticsWeek 1 Assignments

Due by 8/25/2013

Semester 1Complete assignments:

Learning Goals:

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The Student will •Construct dotplots, stemplots, histograms, and cumulative frequency plots.•Interpret dotplots, stemplots, histograms, and cumulative frequency plots.•Describe center, shape, spread, clusters, gaps, outliers and other unusual features•Measure center using mean and median•Measure spread using range, interquartile range, and standard deviation•Measure position using quartiles, percentiles, and standardized (z) scores•Use boxplots (and modified) with the five number summary•Understand the effect of changing units on summary measures•Do normal calculations•Use dotplots, back-to-back stemplots, and parallel boxplots•Compare center and spread both within a group and between groups•Discuss shape, outliers, center, and spread of distributions•Compare position of different distributions using standardization

0.00, 1.01, 1.02, 1.03, 1.04



Week 2 Assignments Due by 9/01/2013

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AP Statistics Semester 1Complete assignments:

1.05, 1.06, 1.07, 1.08, 1.09

Learning Goals:The Student will •Construct dotplots, stemplots, histograms, and cumulative frequency plots.•Interpret dotplots, stemplots, histograms, and cumulative frequency plots.•Describe center, shape, spread, clusters, gaps, outliers and other unusual features•Measure center using mean and median•Measure spread using range, interquartile range, and standard deviation•Measure position using quartiles, percentiles, and standardized (z) scores•Use boxplots (and modified) with the five number summary•Understand the effect of changing units on summary measures•Do normal calculations•Use dotplots, back-to-back stemplots, and parallel boxplots•Compare center and spread both within a group and between groups•Discuss shape, outliers, center, and spread of distributions•Compare position of different distributions using standardization



Week 3 Assignments Due by 9/08/2013AP Statistics


1.10, 1.11, 1.12, 1.13, 1.14

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Learning Goals:



AP Statistics

Contact InformationKevin BookerEmail: [email protected]: (407)234-1887


Semester 1This week: Complete assignments:•1.06 through 1.08



1.15, 1.16, 2.01, 2.02, 2.03

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Learning Goals:






2.04, 2.05, 2.06, 2.07, 2.08

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The Student will •Create and analyze patterns in scatterplots•Understand correlation and linearity•Construct, interpret and use least-squares regression lines•Construct and interpret residual plots•Identify and describe outliers and influential points•Make transformations to achieve linearity (logarithmic and power)•Create and interpret frequency tables and bar charts•Create and interpret marginal and joint frequencies for two-way tables•Create and interpret conditional relative frequencies and determine association•Compare distributions using bar charts

Learning Goals:





2.09, 2.10, 2.11, 2.12, 2.13

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The Student will •Create and analyze patterns in scatterplots•Understand correlation and linearity•Construct, interpret and use least-squares regression lines•Construct and interpret residual plots•Identify and describe outliers and influential points•Make transformations to achieve linearity (logarithmic and power)•Create and interpret frequency tables and bar charts•Create and interpret marginal and joint frequencies for two-way tables•Create and interpret conditional relative frequencies and determine association•Compare distributions using bar charts

Learning Goals:





2.14, 3.01, 3.02, 3.03, 3.04

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The Student will •Know the characteristics of a well-designed and well-conducted experiment•Understand treatments, control groups, experimental units, random assignments, and replication•Recognize sources of bias (including confounding variables, the placebo effect, and blinding)•Recognize and apply completely randomized designs•Recognize and apply different experimental designs (randomized block design, matched pairs design)•Generalize results from collected data•Understand the types of conclusions that may be drawn from collected data

Learning Goals:





3.05, 3.06, 3.07, 3.08, 3.09

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Learning Goals:





3.10, 3.11, 3.12, 3.13, 4.01

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Learning Goals:





4.02, 4.03, 4.04, 4.05

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The Student will•Create and interpret probability models•Find and interpret long-run relative frequencies•Apply the Law of Large Numbers•Apply the addition and multiplication rules•Understand independence and disjoint•Understand conditional probability•Create and apply simulations to access their probability distributions [C5]•Mean and standard deviation for sums and differences of independent random variables.

Learning Goals:





4.06, 4.07, 4.08, 4.09

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Learning Goals:





4.10, 4.11, 4.12, 4.13

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Learning Goals:




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5.01, 5.02, 5.03, 5.04

Learning Goals:The Student will•Recognize and apply the binomial distribution•Find the mean and standard deviation of a binomial distribution•Recognize and apply the geometric distribution•Find the geometric mean•Properties of the normal distribution•The normal distribution as a model for measurements•Sampling distribution of a sample proportion•Sampling distribution of a sample mean•Central Limit Theorem•Sampling distribution of a difference between two sample proportions•Sampling distribution of a difference between two sample means




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Learning Goals:

5.05, 5.06, 5.07, 5.08

The Student will•Recognize and apply the binomial distribution•Find the mean and standard deviation of a binomial distribution•Recognize and apply the geometric distribution•Find the geometric mean•Properties of the normal distribution•The normal distribution as a model for measurements•Sampling distribution of a sample proportion•Sampling distribution of a sample mean•Central Limit Theorem•Sampling distribution of a difference between two sample proportions•Sampling distribution of a difference between two sample means




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Learning Goals:

5.09, 5.10, 5.11, 5.12





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Learning Goals:

5.13, 5.14 (Segment 1 Exam)





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AP Statistics Semester 1Complete assignments: Learning Goals:Complete The Course


AP Statistics Semester 2 Announcements

Week 16

Week 11

Week 7

Week 12

Week 8

Week 4Week 3

Week 15Week 14

Week 9

Week 5

Week 10

Week 6

Week 2Week 1

Week 13

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Due by 1/19/2014


6.01, 6.02, 6.03

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Learning Goals:The Student will•Check assumptions for confidence intervals and significance tests•Find confidence intervals•Conduct significance tests•Type I, Type II errors, and Power•Find the probability of Type I errors•Understand the relationship between the probabilities of Type I and Type II errors




Due by 1/26/2014


6.04, 6.05, 6.06

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Due by 2/2/2014


6.07, 6.08, 6.09

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Due by 2/09/2014


6.10, 6.11, 7.01

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Due by 2/16/2014


7.02, 7.03, 7.04

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Learning Goals:The Student will•Check assumptions for confidence intervals and significance tests of means (both 1 sample and 2 sample)•Find confidence intervals for means (both 1 sample and 2 sample)•Conduct significance tests for means (both 1 sample and 2 sample)•Determine sample size for a desired margin of error•Check assumptions for confidence intervals and significance tests of proportions (both 1 sample and 2 sample)•Find confidence intervals for proportions (both 1 sample and 2 sample)•Conduct significance tests for proportions (both 1 sample and 2 sample)•Determine sample size for a desired margin of error




Due by 2/23/2014


7.05, 7.06, 7.07

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Due by 3/02/2014


7.08, 7.09, 7.10,

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Due by 3/09/2014


7.11, 7.12, 7.13,

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Due by 3/16/2014


7.14, 8.01, 8.02

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Learning Goals:The Student will•Check assumptions for both chi-squared goodness of fit and chi-squared test of independence•Conduct significance tests for both chi-squared goodness of fit and chi-squared test of independence•Check assumptions for inference for regression or a linear regression test.•Conduct significance tests for linear regressions




Due by 3/23/2014


8.03, 8.04, 8.05

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Due by 4/06/2014


8.06, 8.07, 8.08

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Due by 4/13/2014


9.01, 9.02

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Due by 4/20/2014


10.01

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Learning Goals:The Student will

■Students will understand that statistical information is a powerful, pervasive force in our world.■Exploratory analysis of data makes use of graphical and numerical techniques to study patterns and departures from patterns.■Data must be collected according to a well-developed plan if valid information is to be obtained.■Probability is the tool used for anticipating what the distribution of data should look like under a given model.■Statistical inference guides decision making.




Due by 4/27/2014


10.02

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Due by 5/04/2014


10.03, 10.04

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Due by 5/11/2014


10.05 (Segment 2 Exam)

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Due by 5/18/2014

Semester 2Complete assignments: Learning Goals:

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Prepare for the AP Exam

Complete The Course




Due by 5/25/2014

Semester 2Complete assignments: Learning Goals:

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Prepare for the AP Exam


Alexis Peltonhas earned the accolade of

Orange County Virtual AP Statistics

Student of the Month for January

Mr. Kevin BookerPresenter’s Name and Title

AP Statistics

Documents

Transcript of AP Statistics