MATH 232 • Midterm • Introduction to Statistics
Bugüne kadar hazırlanmış en kapsamlı Uygulamalı İstatistik dersi ile karşınızdayız! Detaylı konu anlatımları, sayısız örnek soru ve sınav öncesi prova sorularıyla sınava eksiksiz gireceksin.
Eğitmenler
Ömer Faruk Altun
Co-founder & Head of Education
2011 yılında Endüstri Mühendisliği okumak için başladığım Sabancı Üniversitesi'nden 2018 yılında Bilgisayar Mühendisi olarak mezun oldum. 13 yıldır Altun ismiyle başta Sabancı Üniversitesi olmak üzere çeşitli okullarda Endüstri ve Bilgisayar Mühendisliği alanlarında ders vermekteyim. Unicourse'ta sunduğum derslerin yanında eğitim departmanının da sorumluluğunu üstlenmekteyim.
İhsan Altundağ
Eğitmen
2007 yılında Galatasaray Üniversitesi Bilgisayar Mühendisliği bölümünden birincilikle mezun olduktan sonra Fransa'da Kriptoloji üzerine Fransa hükümeti tarafından verilen bursla yüksek lisans yaptım. Devamında ikinci kez sınava girerek Boğaziçi Matematik bölümünü de bitirdim. Yaklaşık 15 yıldır üniversite öğrencilerine dersler vermekteyim.
Paketi Tamamla
🎓 TED Üniversitesinde öğrencilerin %92'si tüm paketi alarak çalışıyor.
MATH 232 • Midterm
Introduction to Statistics
İhsan Altundağ
1399 TL
MATH 232 • Final
Introduction to Statistics
İhsan Altundağ
1399 TL
Konular
Descriptive Statistics
Introduction
Frequency Distribution
Example 1
Relative Frequency Distribution
Example 2
Cumulative Frequency Distribution
Example 3
Frequency Histogram
Measures of Central Tendancy
Example 4
Measures of Dispersion
Example 5
Example 6
Example 7
Skewness and Kurtosis
Stem and Leaf Diagram
Example 8
Example 9
Box and Whisker Plot
Example 10
Comparing Boxplots
Example 11
Example 12
Sampling Distributions
Sample Mean
Sample Variance
Example 1
Reading Z Table
Central Limit Theorem
Example 2
Example 3
Example 4
Example 5
Example 6
Reading Chi Square Table
Chi Square Distribution
Example 7
Reading T Table
T Distribution
Example 8
Sample Midterm Problems I
Descriptive Statistics 1
Descriptive Statistics 2
Central Limit Theorem 1
Central Limit Theorem 2
Central Limit Theorem 3
Central Limit Theorem 4
Central Limit Theorem 5
Central Limit Theorem 6
Central Limit Theorem 7
Chi Square Distribution
T distribution
Interval Estimation for Population Mean, Proportion and Variance
Introduction
Table Values (ONLY Z, T and Chi Square Values)
Confidence Interval for Means(Sigma known)
Example 1
Example 2
Example 3
Confidence Interval for Means (sigma unknown)
Example 1
Example 2
Confidence Interval for Proportions
Example 1
Example 2
Interval Estimation for Two Population Means and Proportions
Confidence Interval for Difference Between Means (Known Variances)
Example 1
Example 2
Confidence Interval for Difference Between Means (Unknown Variances)
Example 3
Example 4
Confidence Interval for Difference Between Proportions
Example 5
Example 6
Sample Midterm Problems II
Interval Estimation of Mean (Known Variance) 1
Interval Estimation of Mean (Known Variance) 2
Interval Estimation of Mean (Known Variance) 3
Interval Estimation of Mean (Unknown Variance) 1
Interval Estimation of Mean (Unknown Variance) 2
Interval Estimation of Mean (Unknown Variance) 3
Interval Estimation of Proportion 1
Interval Estimation of Proportion 2
Confidence Interval for Difference Between Means (Known Variances)
Confidence Interval for Difference Between Means (Unknown Variances)
Confidence Interval for Difference Between Proportions 1
Confidence Interval for Difference Between Proportions 2
Confidence Interval for Difference Between Proportions 3
Hypothesis Testing and Properties
Introduction
Terminology
Example 1
Example 2
Example 3
Exam Like Question 1
Exam Like Question 2
Hypothesis Testing for Mean and Proportion
Testing Procedure
How to Perform the Test for Means
Example 1
Example 2
Example 3
Example 4
Exam like Question 1
Exam like Question 2
How to Perform the Test for Proportions
Example 1
Example 2
Exam Like Question 1
Hypothesis Testing - Two Populations
Tests for Difference Between Means
Example 1
Example 2
Example 3
Testing for Difference Between Proportions
Example 4
Example 5
Sample Midterm Problems III
Hypotheses and Test Procedures 1
Hypotheses and Test Procedures 2
Hypotheses and Test Procedures 3
Hypothesis Testing about Population Mean 1
Hypothesis Testing about Population Mean 2
Hypothesis Testing about Population Mean 3
Hypothesis Testing about Population Mean 4
Hypothesis Testing about Proportions 1
Hypothesis Testing about Proportions 2
Hypothesis Testing about Proportions 3
Tests for Difference Between Means 1
Tests for Difference Between Means 2
Testing about Differences of Proportions 1
Testing about Differences of Proportions 2
Değerlendirmeler
Henüz hiç değerlendirme yok.
Ders İçeriği
Descriptive Statistics
Introduction
Frequency Distribution
Example 1
Relative Frequency Distribution
Example 2
Cumulative Frequency Distribution
Example 3
Frequency Histogram
Measures of Central Tendancy
Example 4
Measures of Dispersion
Example 5
Example 6
Example 7
Skewness and Kurtosis
Stem and Leaf Diagram
Example 8
Example 9
Box and Whisker Plot
Example 10
Comparing Boxplots
Example 11
Example 12
Sampling Distributions
Sample Mean
Sample Variance
Example 1
Reading Z Table
Central Limit Theorem
Example 2
Example 3
Example 4
Example 5
Example 6
Reading Chi Square Table
Chi Square Distribution
Example 7
Reading T Table
T Distribution
Example 8
Sample Midterm Problems I
Descriptive Statistics 1
Descriptive Statistics 2
Central Limit Theorem 1
Central Limit Theorem 2
Central Limit Theorem 3
Central Limit Theorem 4
Central Limit Theorem 5
Central Limit Theorem 6
Central Limit Theorem 7
Chi Square Distribution
T distribution
Interval Estimation for Population Mean, Proportion and Variance
Introduction
Table Values (ONLY Z, T and Chi Square Values)
Confidence Interval for Means(Sigma known)
Example 1
Example 2
Example 3
Confidence Interval for Means (sigma unknown)
Example 1
Example 2
Confidence Interval for Proportions
Example 1
Example 2
Interval Estimation for Two Population Means and Proportions
Confidence Interval for Difference Between Means (Known Variances)
Example 1
Example 2
Confidence Interval for Difference Between Means (Unknown Variances)
Example 3
Example 4
Confidence Interval for Difference Between Proportions
Example 5
Example 6
Sample Midterm Problems II
Interval Estimation of Mean (Known Variance) 1
Interval Estimation of Mean (Known Variance) 2
Interval Estimation of Mean (Known Variance) 3
Interval Estimation of Mean (Unknown Variance) 1
Interval Estimation of Mean (Unknown Variance) 2
Interval Estimation of Mean (Unknown Variance) 3
Interval Estimation of Proportion 1
Interval Estimation of Proportion 2
Confidence Interval for Difference Between Means (Known Variances)
Confidence Interval for Difference Between Means (Unknown Variances)
Confidence Interval for Difference Between Proportions 1
Confidence Interval for Difference Between Proportions 2
Confidence Interval for Difference Between Proportions 3
Hypothesis Testing and Properties
Introduction
Terminology
Example 1
Example 2
Example 3
Exam Like Question 1
Exam Like Question 2
Hypothesis Testing for Mean and Proportion
Testing Procedure
How to Perform the Test for Means
Example 1
Example 2
Example 3
Example 4
Exam like Question 1
Exam like Question 2
How to Perform the Test for Proportions
Example 1
Example 2
Exam Like Question 1
Hypothesis Testing - Two Populations
Tests for Difference Between Means
Example 1
Example 2
Example 3
Testing for Difference Between Proportions
Example 4
Example 5
Sample Midterm Problems III
Hypotheses and Test Procedures 1
Hypotheses and Test Procedures 2
Hypotheses and Test Procedures 3
Hypothesis Testing about Population Mean 1
Hypothesis Testing about Population Mean 2
Hypothesis Testing about Population Mean 3
Hypothesis Testing about Population Mean 4
Hypothesis Testing about Proportions 1
Hypothesis Testing about Proportions 2
Hypothesis Testing about Proportions 3
Tests for Difference Between Means 1
Tests for Difference Between Means 2
Testing about Differences of Proportions 1
Testing about Differences of Proportions 2
Sıkça Sorulan Sorular
Örneğin, Koç Üniversitesi - MATH 101 (Calculus) veya başka bir okulun benzer dersi olsun, paketlerimiz tam da o derse göre tasarlanır. Böylece nokta atışı çalışır, zaman kazanırsın.
Sınava özel videolar —konu anlatımları, çıkmış sorular ve çözümleri, özet notlar—içerir. Sınavda sıkça çıkan soruları hedefler. Eğitmenlerimiz, üniversitenin akademik takvimini takip ederek paketleri sürekli günceller. Böylece, gereksiz detaylarla vakit kaybetmeden başarını artırmaya odaklanabilirsin.