Kurse
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Kurse
Über Sowiso
Kontakt
Freischalten 
Statistics for Sciences
Verfügbare Sprachen: 
en
Kursinhalt
[A, SfS] Chapter 1: Sampling, Descriptive Statistics, Intr
1.1: Populations and Samples
THEORIE
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1.
Populations and Samples
ÜBUNG
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2.
Populations and Samples
11
1.2: Random Sampling
THEORIE
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1.
Random Sampling
ÜBUNG
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2.
Random Sampling
4
1.3: Variables
THEORIE
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1.
Variables
ÜBUNG
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2.
Variables
3
1.4: Measurement Levels
THEORIE
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Measurement Levels
ÜBUNG
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Measurement Levels
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1.5: Distribution of Quantitative Data
THEORIE
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The Distribution of Quantitative Data
1.6: The Mean
THEORIE
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The Mean
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The Mean
8
1.7: The Median
THEORIE
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The Median
ÜBUNG
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The Median
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1.8: Quartiles
THEORIE
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Quartiles
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Quartiles
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1.9: Frequency Tables
THEORIE
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Frequency Tables
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Frequency Tables
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1.10: Variance and Standard Deviation
THEORIE
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Variance and Standard Deviation
ÜBUNG
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2.
Variance and Standard Deviation
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[A, SfS] Chapter 2: Probability
2.1: Probability Principles
THEORIE
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Probability Principles
ÜBUNG
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Probability Principles
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2.2: Counting Methods
THEORIE
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Counting Methods
ÜBUNG
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Counting Methods
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2.3: Conditional Probability and Independence
THEORIE
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Conditional Probability and Independence
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Conditional Probability and Independence
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2.4: Random Variables
THEORIE
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Random Variables
ÜBUNG
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Random Variables
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2.5: Linear Combinations of Random Variables
THEORIE
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Linear Combinations of Random Variables
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ÜBUNG
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Linear Combinations of Random Variables
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[A, SfS] Chapter 3: Probability Distributions
3.1: The Binomial Distribution
THEORIE
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The Binomial Distribution
ÜBUNG
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2.
The Binomial Distribution
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3.2: The Normal Distribution
THEORIE
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The Normal Distribution
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2.
The Normal Distribution
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3.3: Normal Quantile-Quantile Plots
THEORIE
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Normal Quantile-Quantile Plots
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ÜBUNG
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2.
Normal Quantile-Quantile Plots
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3.4: More Probability Distributions
THEORIE
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More Probability Distributions
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More Probability Distributions
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3.5: The Central Limit Theorem
THEORIE
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The Central Limit Theorem
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The Central Limit Theorem
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[A, SfS] Chapter 4: Estimation
4.1: Bias, Variance, and Mean Square
THEORIE
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Bias, Variance and Mean Square Error (MSE)
ÜBUNG
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2.
Bias, Variance, and Mean Square Error (MSE)
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4.2: Maximum Likelihood Estimation
THEORIE
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Maximum Likelihood Estimation
ÜBUNG
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2.
Maximum Likelihood Estimation
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[A, SfS] Chapter 5: Confidence Intervals
5.1: Confidence Intervals
THEORIE
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Confidence Intervals
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2.
Confidence Intervals
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5.2: CI for a mean
THEORIE
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Confidence Interval for the Population Mean of a Quantitative Variable
ÜBUNG
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2.
Confidence Interval for the Population Mean of a Quantitative Variable
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5.3: CI for mean difference
THEORIE
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Confidence Interval for the Population Mean Difference for a Quantitative Variable
ÜBUNG
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2.
Confidence Interval for the Population Mean Difference for a Quantitative Variable
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5.4: CI for difference in means
THEORIE
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1.
Confidence Interval for the Difference Between Two Population Means for a Quantitative Variable
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ÜBUNG
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2.
Confidence Interval for the Difference Between Two Population Means for a Quantitative Variable
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5.5: CI for proportion
THEORIE
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Confidence Interval for a Population Proportion
ÜBUNG
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2.
Confidence Interval for a Population Proportion
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5.6: CI for difference in proportions
THEORIE
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1.
Confidence Interval for the Difference Between Two Population Proportions
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ÜBUNG
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2.
Confidence Interval for the Difference Between Two Population Proportions
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[A, SfS] Chapter 6: Hypothesis Testing
6.1: Theory of Hypothesis Testing
THEORIE
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1.
Theory of Hypothesis Testing
ÜBUNG
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2.
Theory of Hypothesis Testing
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6.2: Test for Population Mean
THEORIE
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1.
Hypothesis Test for a Population Mean
ÜBUNG
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2.
Hypothesis Test for a Population Mean
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6.3: Test for Population Mean Difference
THEORIE
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1.
Hypothesis Test for a Population Mean Difference
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ÜBUNG
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2.
Hypothesis Test for a Population Mean Difference
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6.4: Test for Difference in Two Population Means
THEORIE
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1.
Hypothesis Test for a Difference in Two Population Means
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2.
Hypothesis Test for a Difference in Two Population Means
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6.5: Test for Population Proportion
THEORIE
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1.
Hypothesis Test for a Population Proportion
ÜBUNG
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2.
Hypothesis Test for a Population Proportion
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6.6: Test for Difference Between Proportions
THEORIE
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1.
Hypothesis Test for a Difference Between Two Population Proportions
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2.
Hypothesis Test for a Difference Between Two Population Proportions
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6.7: Computing the Power of a Hypothesis Test
THEORIE
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Computing the Power of a Hypothesis Test
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Computing the Power of a Hypothesis Test
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6.8: Tests & Confidence Intervals in R
THEORIE
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Hypothesis Tests and Confidence Intervals in R
ÜBUNG
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2.
Hypothesis Tests and Confidence Intervals in R
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[A, SfS] Chapter 7: Chi-square tests and ANOVA
7.1: Chi-square Goodness of Fit Test
THEORIE
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1.
Chi-square Goodness of Fit Test
ÜBUNG
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2.
Chi-square Goodness of Fit Test
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7.2: Chi-square Test of Independence
THEORIE
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1.
Chi-square Test of Independence
ÜBUNG
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2.
Chi-square Test of Independence
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7.3: One-way Analysis of Variance
THEORIE
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One-way Analysis of Variance
ÜBUNG
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2.
One-way Analysis of Variance
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7.4: Multiple Pairwise Comparisons
THEORIE
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1.
Multiple Pairwise Comparisons
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ÜBUNG
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2.
Multiple Pairwise Comparisons
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7.5: Two-way Analysis of Variance
THEORIE
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1.
Two-way Analysis of Variance
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ÜBUNG
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2.
Two-way Analysis of Variance
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[A, SfS] Chapter 8: Correlation and Regression
8.1: Correlation
THEORIE
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1.
Correlation
ÜBUNG
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2.
Correlation
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8.2: Simple Linear Regression
THEORIE
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Simple Linear Regression
ÜBUNG
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2.
Simple Linear Regression
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8.3: Validating Assumptions and Remediation
THEORIE
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Validating Assumptions and Remediation
ÜBUNG
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2.
Validating Assumptions and Remediation
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8.4: Multiple Linear Regression
THEORIE
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Multiple Linear Regression
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ÜBUNG
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2.
Multiple Linear Regression
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