INDR 252Tüm SınavlarApplied 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.

Bu dersimizde sunduğumuz içerikler sırasıyla: 1) Sampling Distributions 2) Estimator Properties 3) Estimator Derivation Methods 4) Interval Estimation of Single Population konularını derinlemesine anlayıp sınava hazırlanırken, final konularına da temel atıyoruz.

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Eğitmenler

Ömer Faruk Altun

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

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.

Konular

Ders Tanıtımı

Introduction

Ücretsiz

Frequency Distribution

Ücretsiz

Example 1

Ücretsiz

Relative Frequency Distribution

Ücretsiz

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

Introduction

Ücretsiz

Unbiased Estimators 1

Unbiased Estimators 2

Exam like Question 1

Exam like Question 2

Exam like Question 3

Exam like Question 4

Ücretsiz

Efficient Estimator

Consistent Estimators 1

Consistent Estimators 2

Consistent Estimators 3

Chapter Summary

Method of Maximum Likelihood

Example 1

Example 2

Ücretsiz

Example 3

Chapter Summary

Introduction

Computing Uncertainities 1

Example 1

Computing Uncertainties 2

Uncertainties for Functions of One Measurement

Example 2

Uncertainties for Functions of Several Measurements

Example 3

Reading Z Table - Option 1

Reading Z Table Option 2

Sample Mean

Ücretsiz

Sample Variance

Ücretsiz

Example 1

Ücretsiz

Central Limit Theorem

Ücretsiz

Example 2

Ücretsiz

Example 3

Example 4

Example 5

Example 6

Normal Approximation to Binomial Distribution

Normal Approximation to Poisson Distribution

Introduction

Table 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

Confidence Interval For Variances

Example 1

Example 2

Example 3

Confidence Interval For Difference Between Means (sigma known)

Example 1

Example 2

Example 3

Confidence Interval For Difference Between Means (sigma unknown)

Example 1

Example 2

Confidence Interval for Difference Between Proportions

Example 1

Example 2

Prediction Interval for Means

Example 1

Example 2

Example 3

Exam Like Question 1

Exam Like Question 2

Tolerance Intervals for Means

Example 4

Example 5

Example 6

Exam Like Question 3

Ücretsiz

Exam Like Question 4

Introduction

Terminology

Example 1

Example 2

Example 3

Power Function of a Test

Example 4

Introduction

Tests for Mean

Example 1

Example 2

Example 3

Example 4

Tests for Proportion

Example 5

Example 6

Tests for Difference Between Means

Example 7

Example 8

Example 9

Example 10

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8

Question 9

Question 10

Question 11

Question 12

Question 13

Question 14

Question 15

Question 16

Question 17

Question 18

Question 19

Question 20

Question 21

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8

Question 9

Question 10

Question 11

Introduction

Ücretsiz

Terminology

Example 1

Example 2

Example 3

Exam Like Question 1

Ücretsiz

Exam Like Question 2

Exam Like Question 3

Ücretsiz

Power Function of a Test

Example 4

Exam Like Question 4

Introduction

Ücretsiz

Tests for Mean

Example 1

Example 2

Example 3

Example 4

Exam like Question 1

Exam like Question 2

Tests for Proportion

Example 5

Example 6

Exam like Question 3

Tests for Variances

Example 7

Example 8

Exam like Question 4

Tests for Difference Between Means

Example 1

Example 2

Example 3

Example 4

Exam like Question 1

Ücretsiz

Testing for Difference Between Proportions

Example 5

Example 6

Exam Like Question 2

Exam Like Question 3

Tests for Ratio of Two Variances

Example 7

Example 8

Exam like Question 4

Paired T-test

Example 1

Analysis of Contingency Tables

Example 2

Example 3

Goodness of Fit Test

Example 4

Exam like Question 1

Ücretsiz

Exam like Question 2

Exam like Question 3

Ücretsiz

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8

Question 9

Question 10

Question 11

Question 12

Question 13

Regression Equations

Example 1

Example 2

Linear Regression

Example 3

Example 4

Example 5

Exam Like Question 1

Exam Like Question 2

Exam Like Question 3

Example 6

Errors in SLR

Example 1

Some Important Formulas

Slope Paremeter

Test for Slope Parameter

Confidence Interval for Slope Parameter

Example 2

Exam Like Question 1

Introduction

Example 1

Errors in Multiple Linear Regression

Coefficients in Multiple Linear Regression

Tests for Significance of Regression

Tests for Individual Regression Coefficient

Coefficient of Determination

Example 2

Example 3

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8

Question 9

Question 10

Question 11

Question 12

INDR 252 Tüm Sınavlar Hakkında Sıkça Sorulan Sorular

Sıkça Sorulan Sorular

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