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- Math and Computer Science
- AP Statistics, 2026 Edition
Math and Computer Science - AP Statistics, 2026 Edition
Bu ders hakkında
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AP Statistics’e sıfırdan başlayarak tüm konuları kavrayış ve pratik odaklı öğrenin.
25+ yıllık deneyimim ve 5000+ saat İSTATİSTİK özel ders tecrübemle
Sizi 5/5 hedefine taşıyorum.
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Sevgili gençler ve değerli veliler,
AP Statistics dersime hoş geldiniz!
Kısaca ben: Alp Giray Özen
• 2002 – ODTÜ İstatistik (Lisans)
• 2012 – DEÜ İstatistik Yüksek Lisans (Honor)
• 2019 – ODTÜ Felsefe (High Honor, bölüm ikinciliği)
• 2025 – ODTÜ Matematik (High Honor)
• 25+ yıl birebir öğretmenlik ve 5000+ saat İSTATİSTİK özel ders deneyimiyle,
AP Stat’ı yalın, sistemli ve sınav odaklı anlatıyorum.
Bu kursta ne bulacaksınız?
• Sıfırdan zirveye: Önce mantık, sonra kavram ve formül, ardından bol bol pratik!
Adım adım çıkacağız bu merdivenlerden.
• Ezber değil kavrayış: Kavramı kuruyor, hemen gerçek sınav tipinde örneğe bağlıyoruz.
• Uygulama odaklı akış: Her başlıkta seçilmiş örnekler,
end-of-chapter soruları ve toparlayıcı summary videoları.
• Araç desteği: TI-84 ile pratik çözümler; “sınavda nasıl yapacağım?” sorusuna net cevap.
• Her dersin sonunda: “Ben bunu gerçekten öğrendim.” diyerek masadan kalkacaksınız.
Bu benim size sözüm!
Kimler için?
• AP Statistics sınavına hazırlanan tüm lise öğrencileri.
• Bir altyapı varsaymıyorum; dört işlem bilmeniz bu dersi baştan sona takip edebilmeniz için yeterli.
• Her seviyeden öğrenci için tüm detaylar bu kursta:
temeli zayıf olanlar biraz daha fazla zaman ayırarak,
önceden birikimi olanlar ise daha hızlı ilerleyerek zirveye ulaşır.
Dersin içeriği
• Exploring Categorical Data, Frequency Tables
• Methods of Data Collection
• Planning and Conducting Surveys
• Planning and Conducting Experiments
• Probability as Relative Frequency
• Combining Independent Random Variables
• The Normal Distribution
• Sampling Distributions
• Confidence Intervals
• Tests of Significance
• Correlation and Regression
Ücretsiz içerik
Kursun %10 civarında bir kısmı ücretsiz.
Anlatım tarzımı, tempomu, ve İstatistik konusundaki yetkinliğimi gördükten sonra
gönül rahatlığıyla kursumu satın alabilmeniz için!
Son söz
Hedefimiz net: AP Stat sınavında 5/5.
Tüm dersleri yazarak çalışıp paketteki soruları cevaplara bakmadan kendi başınıza yapabildiğinizde,
bu hedef adeta kaçınılmaz!
Ama fazlası da var: Size iyi bir İSTATİSTİK okuryazarlığı vadediyorum.
Eğitmenler
Alp Giray Özen
Math and Computer Science
Önerilen Dersler
Konular
Exploring Categorical Data and Frequency Tables
Ücretsiz İçerikler
Two Way Contingency Tables
Ücretsiz
Example 01
Conditional Distributions
Example 02
Example 03
Example 04
Marginal, Joint, and Conditional Percentages
Example 05
End of Chapter Question 01
Ücretsiz
End of Chapter Question 02
End of Chapter Question 03
End of Chapter Question 08
Building Blocks of Statistics
Ücretsiz İçerikler
Population Parameters & Sample Statistics
Calculation of Sample Mean, Variance, and Proportion
Three Building Blocks of Statistics
Sampling Distribution of Sample Means
Sampling Distribution of Sample Proportions
Summary
Ücretsiz
End Of Chapter Question 01
End Of Chapter Question 02
End Of Chapter Question 03
End Of Chapter Question 04
End Of Chapter Question 05
End Of Chapter Question 06
End Of Chapter Question 07
End Of Chapter Question 08
End Of Chapter Question 09
End Of Chapter Question 10
End Of Chapter Question 11
End Of Chapter Question 12
The Normal Distribution
Ücretsiz İçerikler
Basic Properties of a Normal Curve
Ücretsiz
Example 01
Standard Normal Distribution
Inverse cdf Values from Z Table
Using TI-84 to find Standard Normal Probabilities
Example 02
Using TI-84 to find Normal Distribution Probabilities
Ücretsiz
Example 03
Example 04
Example 05
Example 06
Example 07
Linear Combination of a Normal Random Variable
Properties of Normal Distribution Part 1
Properties of Normal Distribution Part 2
Normal Approximation to Binomial Distribution
Normal Probability Plot
Summary
End of Chapter Question 01
End of Chapter Question 02
End of Chapter Question 03
End of Chapter Question 04
End of Chapter Question 05
End of Chapter Question 06
End of Chapter Question 07
Ücretsiz
End of Chapter Question 08
End of Chapter Question 09
End of Chapter Question 10
End of Chapter Question 11
End of Chapter Question 12
End of Chapter Question 13
End of Chapter Question 14
End of Chapter Question 15
End of Chapter Question 16
Basic Operations on Random Variables
Ücretsiz İçerikler
Review of Discrete Random Variables
Sum and Difference of two Random Variables
Ücretsiz
Sum of many Random Variables
Transforming a Random Variable
Linear Combination of a Random Variable
Linear Combination of two Random Variables
Summary
End of Chapter Question 01
End of Chapter Question 02
End of Chapter Question 03
End of Chapter Question 04
End of Chapter Question 05
End of Chapter Question 06
End of Chapter Question 07
End of Chapter Question 08
End of Chapter Question 09
End of Chapter Question 10
Ücretsiz
Discrete Random Variables
Ücretsiz İçerikler
What a Random Variable is
Ücretsiz
Types Of Random Variables
What a Discrete Random Variable is
Probability Mass Function (pmf) and Cumulative Distribution Function (cdf)
Mean and Standard Deviation
Example 01
Binomial Distribution
Ücretsiz
Example 02
Mean and Standard Deviation of a Binomial Random Variable
Example 03
Example 04
Geometric Distribution
Example 05
Law of Large Numbers
Summary
End Of Chapter Question 01
Ücretsiz
End Of Chapter Question 02
End Of Chapter Question 03
End Of Chapter Question 04
End Of Chapter Question 05
End Of Chapter Question 06
End Of Chapter Question 07
End Of Chapter Question 08
End Of Chapter Question 09
End Of Chapter Question 10
End Of Chapter Question 11
End Of Chapter Question 12
End Of Chapter Question 13
End Of Chapter Question 14
End Of Chapter Question 15
Probability Basics and Interpretations
Ücretsiz İçerikler
Probability Concept
Ücretsiz
Union, Intersection And Complement
Conditional Probability
Independence
Example 01
Example 02
Ücretsiz
Total Probability Rule
Example 03
Summary
Simulation
End Of The Chapter Question 01
End Of The Chapter Question 02
End Of The Chapter Question 03
End Of The Chapter Question 04
End Of The Chapter Question 05
End Of The Chapter Question 06
Ücretsiz
End Of The Chapter Question 07
End Of The Chapter Question 08
End Of The Chapter Question 09
End Of The Chapter Question 10
End Of The Chapter Question 11
End Of The Chapter Question 12
End Of The Chapter Question 13
End Of The Chapter Question 14
End Of The Chapter Question 15
End Of The Chapter Question 16
End Of The Chapter Question 17
End Of The Chapter Question 18
Planning and Conducting Experiments
Ücretsiz İçerikler
Experiments vs. Observational Studies
Exploratory and Response Variables
Example 01
Confounding Variable and Illusion of Causation
Blinding and Placebo Effect
Example 02
Paired Design
Blocking
Example 03
Summary
Ücretsiz
End of Chapter Question 01
End of Chapter Question 02
End of Chapter Question 03
End of Chapter Question 04
End of Chapter Question 05
End of Chapter Question 06
Ücretsiz
End of Chapter Question 07
End of Chapter Question 09
End of Chapter Question 10
End of Chapter Question 11
End of Chapter Question 12
End of Chapter Question 13
End of Chapter Question 14
End of Chapter Question 15
Planning and Conducting Surveys
Ücretsiz İçerikler
Simple Random Sampling
Ücretsiz
Characteristics of a Well Designed Survey
Sampling Error
Source of Bias in Surveys
Ücretsiz
Sampling Methods
Summary
End of Chapter Q01
End of Chapter Q02
End of Chapter Q03
End of Chapter Q04
End of Chapter Q05
End of Chapter Q06
End of Chapter Q07
End of Chapter Q09
End of Chapter Q10
End of Chapter Q11
Overview of Methods of Data Collection
Ücretsiz İçerikler
Basic Statistical Concepts
Definitions For Data Collection Methods
Ücretsiz
Classification Of Data Collection Methods
End Of Chapter Q01
End Of Chapter Q02
End Of Chapter Q03
End Of Chapter Q04
End Of Chapter Q05
End Of Chapter Q06
End Of Chapter Q07
Sampling Distributions
Ücretsiz İçerikler
Population Parameters vs. Sample Statistics
Sampling Distribution Question Types
Ücretsiz
1. One Sample Proportion
Example 01
2. Two Samples Proportion
Example 02
3. One Sample Mean
Example 03
Example 04
3. Two Samples Mean
Example 05
Example 6
The T Distribution
Example 07
Example 8
End of Chapter Question 01
End of Chapter Question 02
End of Chapter Question 03
End of Chapter Question 04
Ücretsiz
End of Chapter Question 05
End of Chapter Question 06
End of Chapter Question 07
End of Chapter Question 08
End of Chapter Question 09
End of Chapter Question 10
End of Chapter Question 11
End of Chapter Question 12
End of Chapter Question 13
End of Chapter Question 14
End of Chapter Question 15
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Konular
Exploring Categorical Data and Frequency Tables
Ücretsiz İçerikler
Two Way Contingency Tables
Ücretsiz
Example 01
Conditional Distributions
Example 02
Example 03
Example 04
Marginal, Joint, and Conditional Percentages
Example 05
End of Chapter Question 01
Ücretsiz
End of Chapter Question 02
End of Chapter Question 03
End of Chapter Question 08
Building Blocks of Statistics
Ücretsiz İçerikler
Population Parameters & Sample Statistics
Calculation of Sample Mean, Variance, and Proportion
Three Building Blocks of Statistics
Sampling Distribution of Sample Means
Sampling Distribution of Sample Proportions
Summary
Ücretsiz
End Of Chapter Question 01
End Of Chapter Question 02
End Of Chapter Question 03
End Of Chapter Question 04
End Of Chapter Question 05
End Of Chapter Question 06
End Of Chapter Question 07
End Of Chapter Question 08
End Of Chapter Question 09
End Of Chapter Question 10
End Of Chapter Question 11
End Of Chapter Question 12
The Normal Distribution
Ücretsiz İçerikler
Basic Properties of a Normal Curve
Ücretsiz
Example 01
Standard Normal Distribution
Inverse cdf Values from Z Table
Using TI-84 to find Standard Normal Probabilities
Example 02
Using TI-84 to find Normal Distribution Probabilities
Ücretsiz
Example 03
Example 04
Example 05
Example 06
Example 07
Linear Combination of a Normal Random Variable
Properties of Normal Distribution Part 1
Properties of Normal Distribution Part 2
Normal Approximation to Binomial Distribution
Normal Probability Plot
Summary
End of Chapter Question 01
End of Chapter Question 02
End of Chapter Question 03
End of Chapter Question 04
End of Chapter Question 05
End of Chapter Question 06
End of Chapter Question 07
Ücretsiz
End of Chapter Question 08
End of Chapter Question 09
End of Chapter Question 10
End of Chapter Question 11
End of Chapter Question 12
End of Chapter Question 13
End of Chapter Question 14
End of Chapter Question 15
End of Chapter Question 16
Basic Operations on Random Variables
Ücretsiz İçerikler
Review of Discrete Random Variables
Sum and Difference of two Random Variables
Ücretsiz
Sum of many Random Variables
Transforming a Random Variable
Linear Combination of a Random Variable
Linear Combination of two Random Variables
Summary
End of Chapter Question 01
End of Chapter Question 02
End of Chapter Question 03
End of Chapter Question 04
End of Chapter Question 05
End of Chapter Question 06
End of Chapter Question 07
End of Chapter Question 08
End of Chapter Question 09
End of Chapter Question 10
Ücretsiz
Discrete Random Variables
Ücretsiz İçerikler
What a Random Variable is
Ücretsiz
Types Of Random Variables
What a Discrete Random Variable is
Probability Mass Function (pmf) and Cumulative Distribution Function (cdf)
Mean and Standard Deviation
Example 01
Binomial Distribution
Ücretsiz
Example 02
Mean and Standard Deviation of a Binomial Random Variable
Example 03
Example 04
Geometric Distribution
Example 05
Law of Large Numbers
Summary
End Of Chapter Question 01
Ücretsiz
End Of Chapter Question 02
End Of Chapter Question 03
End Of Chapter Question 04
End Of Chapter Question 05
End Of Chapter Question 06
End Of Chapter Question 07
End Of Chapter Question 08
End Of Chapter Question 09
End Of Chapter Question 10
End Of Chapter Question 11
End Of Chapter Question 12
End Of Chapter Question 13
End Of Chapter Question 14
End Of Chapter Question 15
Probability Basics and Interpretations
Ücretsiz İçerikler
Probability Concept
Ücretsiz
Union, Intersection And Complement
Conditional Probability
Independence
Example 01
Example 02
Ücretsiz
Total Probability Rule
Example 03
Summary
Simulation
End Of The Chapter Question 01
End Of The Chapter Question 02
End Of The Chapter Question 03
End Of The Chapter Question 04
End Of The Chapter Question 05
End Of The Chapter Question 06
Ücretsiz
End Of The Chapter Question 07
End Of The Chapter Question 08
End Of The Chapter Question 09
End Of The Chapter Question 10
End Of The Chapter Question 11
End Of The Chapter Question 12
End Of The Chapter Question 13
End Of The Chapter Question 14
End Of The Chapter Question 15
End Of The Chapter Question 16
End Of The Chapter Question 17
End Of The Chapter Question 18
Planning and Conducting Experiments
Ücretsiz İçerikler
Experiments vs. Observational Studies
Exploratory and Response Variables
Example 01
Confounding Variable and Illusion of Causation
Blinding and Placebo Effect
Example 02
Paired Design
Blocking
Example 03
Summary
Ücretsiz
End of Chapter Question 01
End of Chapter Question 02
End of Chapter Question 03
End of Chapter Question 04
End of Chapter Question 05
End of Chapter Question 06
Ücretsiz
End of Chapter Question 07
End of Chapter Question 09
End of Chapter Question 10
End of Chapter Question 11
End of Chapter Question 12
End of Chapter Question 13
End of Chapter Question 14
End of Chapter Question 15
Planning and Conducting Surveys
Ücretsiz İçerikler
Simple Random Sampling
Ücretsiz
Characteristics of a Well Designed Survey
Sampling Error
Source of Bias in Surveys
Ücretsiz
Sampling Methods
Summary
End of Chapter Q01
End of Chapter Q02
End of Chapter Q03
End of Chapter Q04
End of Chapter Q05
End of Chapter Q06
End of Chapter Q07
End of Chapter Q09
End of Chapter Q10
End of Chapter Q11
Overview of Methods of Data Collection
Ücretsiz İçerikler
Basic Statistical Concepts
Definitions For Data Collection Methods
Ücretsiz
Classification Of Data Collection Methods
End Of Chapter Q01
End Of Chapter Q02
End Of Chapter Q03
End Of Chapter Q04
End Of Chapter Q05
End Of Chapter Q06
End Of Chapter Q07
Sampling Distributions
Ücretsiz İçerikler
Population Parameters vs. Sample Statistics
Sampling Distribution Question Types
Ücretsiz
1. One Sample Proportion
Example 01
2. Two Samples Proportion
Example 02
3. One Sample Mean
Example 03
Example 04
3. Two Samples Mean
Example 05
Example 6
The T Distribution
Example 07
Example 8
End of Chapter Question 01
End of Chapter Question 02
End of Chapter Question 03
End of Chapter Question 04
Ücretsiz
End of Chapter Question 05
End of Chapter Question 06
End of Chapter Question 07
End of Chapter Question 08
End of Chapter Question 09
End of Chapter Question 10
End of Chapter Question 11
End of Chapter Question 12
End of Chapter Question 13
End of Chapter Question 14
End of Chapter Question 15
