Courses
About SOWISO
Contact
Unlock 
Courses
About SOWISO
Contact
Unlock 
sowiso logo Statistics for Sciences

Statistics for college and university students. Contains descriptive statistics, probability theory, inferential statistics, hypothesis testing, data analysis and more. Statistics for Sciences takes a more mathematical approach to explaining and assessing statistics.

Available languages: 
en
Course content
[A, SfS] Chapter 1: Sampling, Descriptive Statistics, Intr
1.1: Populations and Samples
THEORY
T
1.
Populations and Samples
PRACTICE
P
2.
Populations and Samples
11
1.2: Random Sampling
THEORY
T
1.
Random Sampling
PRACTICE
P
2.
Random Sampling
4
1.3: Variables
THEORY
T
1.
Variables
PRACTICE
P
2.
Variables
3
1.4: Measurement Levels
THEORY
T
1.
Measurement Levels
PRACTICE
P
2.
Measurement Levels
Unlock full access locked
1.5: Distribution of Quantitative Data
THEORY
T
1.
The Distribution of Quantitative Data
1.6: The Mean
THEORY
T
1.
The Mean
PRACTICE
P
2.
The Mean
8
1.7: The Median
THEORY
T
1.
The Median
PRACTICE
P
2.
The Median
Unlock full access locked
1.8: Quartiles
THEORY
T
1.
Quartiles
PRACTICE
P
2.
Quartiles
Unlock full access locked
1.9: Frequency Tables
THEORY
T
1.
Frequency Tables
PRACTICE
P
2.
Frequency Tables
Unlock full access locked
1.10: Variance and Standard Deviation
THEORY
T
1.
Variance and Standard Deviation
PRACTICE
P
2.
Variance and Standard Deviation
Unlock full access locked
[A, SfS] Chapter 2: Probability
2.1: Probability Principles
THEORY
T
1.
Probability Principles
PRACTICE
P
2.
Probability Principles
Unlock full access locked
2.2: Counting Methods
THEORY
T
1.
Counting Methods
PRACTICE
P
2.
Counting Methods
Unlock full access locked
2.3: Conditional Probability and Independence
THEORY
T
1.
Conditional Probability and Independence
PRACTICE
P
2.
Conditional Probability and Independence
Unlock full access locked
2.4: Random Variables
THEORY
T
1.
Random Variables
PRACTICE
P
2.
Random Variables
Unlock full access locked
2.5: Linear Combinations of Random Variables
THEORY
T
1.
Linear Combinations of Random Variables
Unlock full access locked
PRACTICE
P
2.
Linear Combinations of Random Variables
Unlock full access locked
[A, SfS] Chapter 3: Probability Distributions
3.1: The Binomial Distribution
THEORY
T
1.
The Binomial Distribution
PRACTICE
P
2.
The Binomial Distribution
Unlock full access locked
3.2: The Normal Distribution
THEORY
T
1.
The Normal Distribution
PRACTICE
P
2.
The Normal Distribution
Unlock full access locked
3.3: Normal Quantile-Quantile Plots
THEORY
T
1.
Normal Quantile-Quantile Plots
Unlock full access locked
PRACTICE
P
2.
Normal Quantile-Quantile Plots
Unlock full access locked
3.4: More Probability Distributions
THEORY
T
1.
More Probability Distributions
PRACTICE
P
2.
More Probability Distributions
Unlock full access locked
3.5: The Central Limit Theorem
THEORY
T
1.
The Central Limit Theorem
Unlock full access locked
PRACTICE
P
2.
The Central Limit Theorem
Unlock full access locked
[A, SfS] Chapter 4: Estimation
4.1: Bias, Variance, and Mean Square
THEORY
T
1.
Bias, Variance and Mean Square Error (MSE)
PRACTICE
P
2.
Bias, Variance, and Mean Square Error (MSE)
Unlock full access locked
4.2: Maximum Likelihood Estimation
THEORY
T
1.
Maximum Likelihood Estimation
PRACTICE
P
2.
Maximum Likelihood Estimation
Unlock full access locked
[A, SfS] Chapter 5: Confidence Intervals
5.1: Confidence Intervals
THEORY
T
1.
Confidence Intervals
PRACTICE
P
2.
Confidence Intervals
Unlock full access locked
5.2: CI for a mean
THEORY
T
1.
Confidence Interval for the Population Mean of a Quantitative Variable
PRACTICE
P
2.
Confidence Interval for the Population Mean of a Quantitative Variable
Unlock full access locked
5.3: CI for mean difference
THEORY
T
1.
Confidence Interval for the Population Mean Difference for a Quantitative Variable
PRACTICE
P
2.
Confidence Interval for the Population Mean Difference for a Quantitative Variable
Unlock full access locked
5.4: CI for difference in means
THEORY
T
1.
Confidence Interval for the Difference Between Two Population Means for a Quantitative Variable
Unlock full access locked
PRACTICE
P
2.
Confidence Interval for the Difference Between Two Population Means for a Quantitative Variable
Unlock full access locked
5.5: CI for proportion
THEORY
T
1.
Confidence Interval for a Population Proportion
PRACTICE
P
2.
Confidence Interval for a Population Proportion
Unlock full access locked
5.6: CI for difference in proportions
THEORY
T
1.
Confidence Interval for the Difference Between Two Population Proportions
Unlock full access locked
PRACTICE
P
2.
Confidence Interval for the Difference Between Two Population Proportions
Unlock full access locked
[A, SfS] Chapter 6: Hypothesis Testing
6.1: Theory of Hypothesis Testing
THEORY
T
1.
Theory of Hypothesis Testing
PRACTICE
P
2.
Theory of Hypothesis Testing
Unlock full access locked
6.2: Test for Population Mean
THEORY
T
1.
Hypothesis Test for a Population Mean
PRACTICE
P
2.
Hypothesis Test for a Population Mean
Unlock full access locked
6.3: Test for Population Mean Difference
THEORY
T
1.
Hypothesis Test for a Population Mean Difference
Unlock full access locked
PRACTICE
P
2.
Hypothesis Test for a Population Mean Difference
Unlock full access locked
6.4: Test for Difference in Two Population Means
THEORY
T
1.
Hypothesis Test for a Difference in Two Population Means
Unlock full access locked
PRACTICE
P
2.
Hypothesis Test for a Difference in Two Population Means
Unlock full access locked
6.5: Test for Population Proportion
THEORY
T
1.
Hypothesis Test for a Population Proportion
PRACTICE
P
2.
Hypothesis Test for a Population Proportion
Unlock full access locked
6.6: Test for Difference Between Proportions
THEORY
T
1.
Hypothesis Test for a Difference Between Two Population Proportions
Unlock full access locked
PRACTICE
P
2.
Hypothesis Test for a Difference Between Two Population Proportions
Unlock full access locked
6.7: Computing the Power of a Hypothesis Test
THEORY
T
1.
Computing the Power of a Hypothesis Test
Unlock full access locked
PRACTICE
P
2.
Computing the Power of a Hypothesis Test
Unlock full access locked
6.8: Tests & Confidence Intervals in R
THEORY
T
1.
Hypothesis Tests and Confidence Intervals in R
PRACTICE
P
2.
Hypothesis Tests and Confidence Intervals in R
Unlock full access locked
[A, SfS] Chapter 7: Chi-square tests and ANOVA
7.1: Chi-square Goodness of Fit Test
THEORY
T
1.
Chi-square Goodness of Fit Test
PRACTICE
P
2.
Chi-square Goodness of Fit Test
Unlock full access locked
7.2: Chi-square Test of Independence
THEORY
T
1.
Chi-square Test of Independence
PRACTICE
P
2.
Chi-square Test of Independence
Unlock full access locked
7.3: One-way Analysis of Variance
THEORY
T
1.
One-way Analysis of Variance
PRACTICE
P
2.
One-way Analysis of Variance
Unlock full access locked
7.4: Multiple Pairwise Comparisons
THEORY
T
1.
Multiple Pairwise Comparisons
Unlock full access locked
PRACTICE
P
2.
Multiple Pairwise Comparisons
Unlock full access locked
7.5: Two-way Analysis of Variance
THEORY
T
1.
Two-way Analysis of Variance
Unlock full access locked
PRACTICE
P
2.
Two-way Analysis of Variance
Unlock full access locked
[A, SfS] Chapter 8: Correlation and Regression
8.1: Correlation
THEORY
T
1.
Correlation
PRACTICE
P
2.
Correlation
Unlock full access locked
8.2: Simple Linear Regression
THEORY
T
1.
Simple Linear Regression
PRACTICE
P
2.
Simple Linear Regression
Unlock full access locked
8.3: Validating Assumptions and Remediation
THEORY
T
1.
Validating Assumptions and Remediation
PRACTICE
P
2.
Validating Assumptions and Remediation
Unlock full access locked
8.4: Multiple Linear Regression
THEORY
T
1.
Multiple Linear Regression
Unlock full access locked
PRACTICE
P
2.
Multiple Linear Regression
Unlock full access locked
Unlock full access  unlock
Teacher access
Request a demo account. We will help you get started with our digital learning environment.
Create demo account
Student access
Is your university not a partner? Get access to our courses via Pass Your Math independent of your university. See pricing and more.
Or visit omptest.org if jou are taking an OMPT exam.
More info