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Course Description
Course Description
An algebra-based probability and statistics course that covers descriptive statistics, binomial and normal distribution, confidence intervals and hypothesis testing using z-, t-, chi square-, and f-distributions. Correlations and regression are also introduced.
Topic 1: Exploring Data with Tables and Graphs
Topic 1: Exploring Data with Tables and Graphs
Histograms, Dotplots, Stemplots, Pareto Charts, Scatterplots
Sampling Methods
Topic 2: Describing, Exploring, and Comparing Data
Topic 2: Describing, Exploring, and Comparing Data
Measures of Center and Spread
Z scores
Boxplots
Topic 3: Discrete Probability Distributions
Topic 3: Discrete Probability Distributions
Basic Probability
Mean and Standard Deviation of Probability Distributions
Probability, Mean, and Standard Deviation for Binomial Distributions
Topic 4: Normal Probability Distributions
Topic 4: Normal Probability Distributions
Z Scores, Probability, and Standard Normal Distribution
Central Limit Theorem
Normal Distribution as an Approximation to the Binomial
Topic 5: Estimating Parameters
Topic 5: Estimating Parameters
Confidence Intervals for Population Proportions
Confidence Intervals for Population Means
Determine Necessary Sample Size
Confidence Intervals for Population Standard Deviations
Topic 6: Hypothesis Testing
Topic 6: Hypothesis Testing
Null and Alternative Hypothesis
Calculating Test Statistics, P-values, and Critical Values
Making Conclusions about Hypotheses
Topic 7: Inferences from Two Samples
Topic 7: Inferences from Two Samples
Hypothesis Tests and Confidence Intervals for:
The Difference Between 2 Proportions
Two Means from Independent Samples
Matched Pairs
F Tests for Two Variances of Standard Deviations
Topic 8: Regression and Chi-square tests
Topic 8: Regression and Chi-square tests
Linear Correlation
Regression Equations
Goodness-of-Fit Tests
Hypothesis Tests for Independence
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