Difference between revisions of "Links: Stat 202 Summer 2016"
From Sean_Carver
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* [[Media:Stat202_2015S_Final2014F.pdf|Exam 3 Practice 2]] ([[Media:Stat202_2015S_Final2014F_Solutions.pdf|solutions]]) | * [[Media:Stat202_2015S_Final2014F.pdf|Exam 3 Practice 2]] ([[Media:Stat202_2015S_Final2014F_Solutions.pdf|solutions]]) | ||
| − | == StatCrunch Skills | + | == StatCrunch Skills We Covered (copied from Summer 2015, but still relevant) == |
| − | === StatCrunch Plots | + | === StatCrunch Plots === |
* Bar Graph | * Bar Graph | ||
| Line 40: | Line 40: | ||
* Boxplot | * Boxplot | ||
| − | === StatCrunch Calculators | + | === StatCrunch Calculators === |
* Normal Calculator | * Normal Calculator | ||
* Binomial Calculator | * Binomial Calculator | ||
| − | === StatCrunch Statistics | + | === StatCrunch Statistics === |
* Summary Stats (Columns) | * Summary Stats (Columns) | ||
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* Regression (Simple Linear) | * Regression (Simple Linear) | ||
| − | === Other Skills | + | === Other StatCrunch Skills === |
* Load Data | * Load Data | ||
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* Use Fixed and Dynamic Seeds | * Use Fixed and Dynamic Seeds | ||
* Apply Transformations to Data | * Apply Transformations to Data | ||
| − | |||
| − | |||
=== Sampling === | === Sampling === | ||
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=== Power/Sample Size === | === Power/Sample Size === | ||
| + | |||
| + | * Z-Stats | ||
| + | * T-Stats | ||
| + | * Proportion Stats | ||
| + | * One Sample | ||
| + | * Two Sample | ||
| + | |||
| + | === Confidence Interval Width/Sample Size === | ||
* Z-Stats | * Z-Stats | ||
Revision as of 03:27, 2 August 2016
Contents
Links
- Online textbook: http://www.macmillanhighered.com/Catalog/Product.aspx?isbn=1464133409
- Kahn Academy videos on why you divide by (n-1) instead of (n) when you compute the sample standard deviation or sample variance. Video 1: https://www.khanacademy.org/math/probability/descriptive-statistics/variance_std_deviation/v/review-and-intuition-why-we-divide-by-n-1-for-the-unbiased-sample-variance Video 2: https://www.khanacademy.org/math/probability/descriptive-statistics/variance_std_deviation/v/simulation-showing-bias-in-sample-variance
- How to interpret a Normal Quantile Plot (QQ-Plot): http://stats.stackexchange.com/questions/101274/how-to-interpret-a-qq-plot
- Comparison of Normal and T Distributions
Practice Exams And Exams
StatCrunch Skills We Covered (copied from Summer 2015, but still relevant)
StatCrunch Plots
- Bar Graph
- Pie Chart
- Stemplot
- Histogram
- QQ-Plot (Normal Quantile Plot)
- Scatter Plot
- Scatter Plot with Regression Line overlaid
- Residual Plot
- Boxplot
StatCrunch Calculators
- Normal Calculator
- Binomial Calculator
StatCrunch Statistics
- Summary Stats (Columns)
- Summary Stats (Correlation)
- Regression (Simple Linear)
Other StatCrunch Skills
- Load Data
- Delete and Insert Rows And Columns
- Rename Columns
- Simulate Data From A Specified Distribution
- Use Fixed and Dynamic Seeds
- Apply Transformations to Data
Sampling
- Conduct a random sample of data
- Sample if there is more than one column and you want sampled columns to correspond.
- Use fixed seeds for sampling
- Generate a sequence of numbers to use for sampling.
Hypothesis Testing
- Z-Test
- T-Test
- Proportion Test
- One Sample
- Two Sample
- Paired
- With Data
- With Summary
Confidence Intervals
- Z-Stats
- T-Stats
- Proportion Stats
- One Sample
- Two Sample
- Paired
- With Data
- With Summary
Power/Sample Size
- Z-Stats
- T-Stats
- Proportion Stats
- One Sample
- Two Sample
Confidence Interval Width/Sample Size
- Z-Stats
- T-Stats
- Proportion Stats
- One Sample
- Two Sample
