# Ap Statistics

Posted By admin On 29/12/21The AP Statistics course is equivalent to a first-semester, college-level class in statistics. The 3-hour, end-of-course exam is comprised of 46 questions, including40multiple-choice questions (50% of the exam) and 6 free-response questions (50% of the exam). The exam covers the following course content categories.

- Ap Stats Summer Packet 2019 - May 31 2019 - 21-59.pdf Attachment Ap Stats Summer Packet 2019 - May 31 2019 - 21-59.pdf Ap Stats Summer Packet 2019 - May 31 2019 - 21-59.pdf 9 attachment 25335942 0.
- The AP Statistics course is equivalent to a first-semester, college-level class in statistics. The 3- hour, end-of-course exam is comprised of 46 questions, including40multiple-choice questions (50% of the exam) and 6 free-response questions (50% of the exam).

**AP Statistics Course Outline**

Following is an outline of the major topics covered by the AP Statistics Exam. The ordering here is intended to define the scope of the course but not necessarily the sequence. The percentages in parentheses for each content area indicate the coverage for that content area in the exam.

I. Exploring Data: Describing patterns and departures from patterns (20%–30%) *Exploratory analysis of data makes use of graphical and numerical techniques to**study patterns and departures from patterns. Emphasis should be placed on**interpreting information from graphical and numerical displays and summaries*.

A.Constructing and interpreting graphical displays of distributions of univariate data (dotplot, stemplot, histogram, cumulative frequency plot)

1. Center and spread

2. Clusters and gaps

3. Outliers and other unusual features

4. Shape

B. Summarizing distributions of univariate data

1. Measuring center: median, mean

2. Measuring spread: range, interquartile range, standard deviation

3. Measuring position: quartiles, percentiles, standardized scores(z-scores)

4. Using boxplots

5. The effect of changing units on summary measures

C. Comparing distributions of univariate data (dotplots,back-to-back stemplots, parallel boxplots)

1. Comparing center and spread: within group,between group variation

2. Comparing clusters and gaps

3. Comparing outliers and other unusual features

### Ap Statistics

4. Comparing shapes

D. Exploring bivariate data

1. Analyzing patterns in scatterplots

2. Correlation and linearity

3. Least-squares regression line

4. Residual plots, outliers and influential points

5. Transformations to achieve linearity:logarithmic and power transformations

E. Exploring categorical data

1. Frequency tables and bar charts

2. Marginal and joint frequencies for two-waytables

3. Conditional relative frequencies and association

4. Comparing distributions using bar charts

II. Sampling and Experimentation: Planning andconducting a study (10%–15%) *Data must be collected according to awell-developed plan if valid information on a**conjecture is to beobtained. This plan includes clarifying the question and deciding**upon amethod of data collection and analysis.*

A. Overview of methods of data collection

1. Census

2. Sample survey

3. Experiment

4. Observational study

B. Planning and conducting surveys

1. Characteristics of a well-designed andwell-conducted survey

2. Populations, samples and random selection

3. Sources of bias in sampling and surveys

4. Sampling methods, including simple randomsampling, stratified random sampling and cluster sampling

C. Planning and conducting experiments

1. Characteristics of a well-designed andwell-conducted experiment

2. Treatments, control groups, experimental units,random assignments and replication

3. Sources of bias and confounding, includingplacebo effect and blinding

4. Completely randomized design

5. Randomized block design, including matched pairsdesign

D. Generalizability ofresults and types of conclusions

III. Anticipating Patterns: Exploring random phenomenausing probability and simulation (20%–30%) *Probability is the tool used foranticipating what the distribution of data should**look like under a givenmodel.*

A. Probability

1. Interpreting probability, including long-runrelative frequency interpretation

2. “Law of Large Numbers” concept

3. Addition rule, multiplication rule, conditionalprobability and independence

4. Discrete random variables and their probabilitydistributions, including binomial and geometric

5. Simulation of random behavior and probabilitydistributions

6. Mean (expected value) and standard deviation ofa random variable, and linear transformation of a random variable

B. Combining independent random variables

1. Notion of independence versus dependence

2. Mean and standard deviation for sums anddifferences of independentrandom variables

C. The normal distribution

1. Properties of the normal distribution

2. Using tables of the normal distribution

3. The normal distribution as a model formeasurements

D. Sampling distributions

1. Sampling distribution of a sample proportion

2. Sampling distribution of a sample mean

3. Central Limit Theorem

4. Sampling distribution of a difference betweentwo independent sample proportions

5. Sampling distribution of a difference betweentwo independent ssamplemeans

6. Simulation of sampling distributions

7. t-distribution

8. Chi-square distribution

IV. Statistical Inference: Estimating populationparameters and testing hypotheses (30%–40%) *Statistical inference guides theselection of appropriate models.*

A. Estimation (point estimators and confidenceintervals)

1. Estimating population parameters and margins oferror

2. Properties of point estimators, includingunbiasedness and variability

3. Logic of confidence intervals, meaning of confidencelevel and confidence intervals, and properties of confidence intervals

4. Large sample confidence interval for aproportion

5. Large sampleconfidence interval for a difference between two proportions

6. Confidence interval for a mean

7. Confidence interval for a difference between twomeans (unpaired and paired)

8. Confidence interval for the slope of a least-squaresregression line

B. Tests of significance

1. Logic of significance testing, null and alternativehypotheses; p-values; one- and two-sided tests; concepts of Type I and Type IIerrors; concept of power

2. Large sample test for a proportion

3. Large sample test for a difference between twoproportions

4. Test for a mean

5. Test for a difference between two means(unpaired and paired)

6. Chi-square test for goodness of fit, homogeneityof proportions, and independence (one- and two-way tables)

7. Test for the slope ofa least-squares regression line

**The AP Stat exam is on Thursday, May 13, 2021 at 12pm (check for exact start time).**

**To access your scores online, sign up for an account athttps://apscore.collegeboard.org/scores?ep_ch=PR&ep_mid=11082930&ep_rid=30979560.**

**REMIND class codes:**

__College Board AP Statistics Homepage and Free Response Questions__*****NEW Formula Sheet for the Exam*****

__Textbook Website and Resources__https://safari.fultonschools.org/?g=727fbfd8-8194-11e6-994f-246e96145ea0

**Worked examples and exercises videos:**http://www.macmillanlearning.com/catalog/studentresources/tps5e#

**Online Practice Quizzes**Online Quiz: Chapter 1 | https://docs.google.com/forms/d/e/1FAIpQLSeK4cCre0HcYGSYYpAL5J2RQjruroUOzcS5KywUNk6uaodsfg/viewform |

Online Quiz: Chapter 2 | https://docs.google.com/forms/d/e/1FAIpQLScTYrPMmiAMsAlyvmPIqnOSXyegJ0KliST_qDaakH6SbHz0aw/viewform |

Online Quiz: Chapter 3 | https://docs.google.com/forms/d/e/1FAIpQLScNZDMBhZAf2FhKt66vxIXFUehjNQwLdmdxmOPfW69IhllIzg/viewform |

Online Quiz: Chapter 4 | https://docs.google.com/forms/d/e/1FAIpQLSfr2bg3lqNU6amqDhAXJwI9DczzvV029pWgSBN4gxZhOp1sNw/viewform |

Online Quiz: Chapter 5 | https://docs.google.com/forms/d/e/1FAIpQLSf9EmzclqTXwsK_xSIknQGo4jCPSMywuZFhCB421ssKOJt2RQ/viewform |

Online Quiz: Chapter 6 | https://docs.google.com/forms/d/e/1FAIpQLSdkdjm9fdmZCYW6okvEcfdft2t88hX-ZZHho1PZYnDhqY9pLQ/viewform |

Online Quiz: Chapter 7 | https://docs.google.com/forms/d/e/1FAIpQLSeN1tuZrXT39nWoen3vQi29Wy7VIlIhmgPwv1svqfVwkfzaqA/viewform |

Online Quiz: Chapter 8 | https://docs.google.com/forms/d/e/1FAIpQLSefFuUwgW4xNEaIRoYyX6F4mHG-x3Tb-e1PKLPHSpAO1ITV1g/viewform |

Online Quiz: Chapter 9 | https://docs.google.com/forms/d/e/1FAIpQLSfrNws8BfK4I8zDDRxpTUmXCcs2yNHvMR-cSuBscTa5Lj4pzw/viewform |

Online Quiz: Chapter 10 | https://docs.google.com/forms/d/e/1FAIpQLSc7_-4e6F85dZOCdoinvNG_LsHVEz9-kVgHhD-yhU30qWIdpQ/viewform |

Online Quiz: Chapter 11 | https://docs.google.com/forms/d/e/1FAIpQLSeT2cqGSCQgDlfQIKH96hpWqV37Fn-Y1HPEiqbIAzr_HBn8Yw/viewform |

Online Quiz: Chapter 12 | https://docs.google.com/forms/d/e/1FAIpQLSfRRJlOZ-0IZIad8WDTyeQX3KfvFUaeYa4GcdOGDXaqrxzdLA/viewform |

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### Ap Statistics Exam

__Statistical Applets__### Ap Statistics Formula Sheet

### Ap Statistics Probability

### Ap Statistics Syllabus

**TI-Nspire Guide to Statistics:**

http://www.mathlore.net/files/TInspireCX_Skills_for_APstats.pdf

__Want to order an AP Stat practice book?__

__www.book2look.com/vBook.aspx?id=jSxa7W2RPf__and check out the AP Stat materials for sale. As a student at AHS, you get 52% off the retail price! Bring the exact amount in cash or a check made out to 'AHS' to Mrs. Davis as soon as possible to place your order.

**Other useful information****AP exam general information and testing tips**- Z-Table
- 'Why we should learn the language of data'--Clive Thompson
- AP Numeric Grade Conversion (practice AP test scores converted to class grade)
- Statistics Help for Journalists: http://www.robertniles.com/stats/
- Men's 100 M Sprint Video: http://www.nytimes.com/interactive/2012/08/05/sports/olympics/the-100-meter-dash-one-race-every-medalist-ever.html?_r=2&
**Does this college take AP credit?**Click on the link https://apstudent.collegeboard.org/creditandplacement/search-credit-policies to determine the college credit policy for any college (what do I need to get credit and can I place out of certain courses if I pass the AP exam?)

**INVERSE T (Word document below)****LIN REG T INTERVAL http://www.tc3.edu/instruct/sbrown/ti83/tireginf.htm#TI84**