Street-Smart Stats cover
PURCHASE A DIGITAL COPY
PURCHASE A HARD COPY
Lesson 1 Introduction to Statistical Research Methods
Lesson 2 Visualizing Data
Lesson 3 Central Tendency
Lesson 4 Variability
Lesson 5 Standardizing
Lesson 6 Normal Distribution
Lesson 7 Sampling Distributions
Lesson 8 Estimation
Lesson 9 Hypothesis Testing
Lesson 10 t-Tests for Dependent Samples
Lesson 11 t-Tests for Independent Samples
Lesson 12 Intro to One-Way ANOVA
Lesson 13 One-Way ANOVA: Test significance of differences
Lesson 14 Correlation
Lesson 15 Linear Regression
Lesson 16 Chi-Squared Tests
Afterward
Index

Alpha level Lesson 9

ANOVA Lesson 12

Alternative hypothesis Lesson 9

Boxplot Lesson 4

Central Limit Theorem Lesson 7

Chi-squared test

Coefficient of determination (r2)

Construct Lesson 1

Correlation

Critical region Lesson 9

Critical values Lesson 8

Cumulative density function Lesson 6

Data Lesson 1

Degrees of freedom Lesson 10

Deviation Lesson 4

F-distribution Lesson 12

Frequency Lesson 2

Grand mean Lesson 12

Histogram Lesson 2

Linear regression Lesson 15

Margin of error Lesson 8

Mean Lesson 3

Median Lesson 3

Mode Lesson 3

Normal distribution Lesson 5

Null hypothesis Lesson 9

One-tailed test Lesson 9

Operational definition Lesson 1

Outlier Lesson 4

P-value Lesson 9

Percentile Lesson 6

Point estimate Lesson 8

Population Lesson 1

Probability density function Lesson 6

Relative frequency Lesson 2

Residual Lesson 15

Sample Lesson 1

Sampling distribution Lesson 7

Scatter plot Lesson 14

Standard deviation Lesson 4

Standard error

Sum of squares Lesson 4

t-Distribution Lesson 10

t-statistic Lesson 10

Tukey’s HSD Lesson 13

Two-tailed test Lesson 9

Variable Lesson 1

Variance Lesson 4

Z-score Lesson 5

R Tutorials

    1. Choosing a random sample of size n from a population of size k Lesson 1
    2. Inputting data into R and tabulating variables Lesson 2
    3. Creating histograms for numerical data Lesson 2
    4. Find the mean Lesson 3
    5. Boxplots Lesson 4
    6. Find the standard deviation Lesson 4
    7. Compare parameters of sampling distribution and population Lesson 7
    8. Combining normal distributions Lesson 11
    9. ANOVA Lesson 13
    10. Scatter plot Lesson 14
    11. Correlation Lesson 14
    12. Test for ρ and compute confidence interval Lesson 14
    13. Linear regression Lesson 15
    14. Multiple regression Lesson 15
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