Difference between revisions of "Links: Stat 202 Fall 2015"

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== Links ==
 
== Links ==
  
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* 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
 
* How to interpret a Normal Quantile Plot (QQ-Plot):  http://stats.stackexchange.com/questions/101274/how-to-interpret-a-qq-plot
 
* [[Media:NormalVerusT.pdf|Comparison of Normal and T Distributions]]
 
* [[Media:NormalVerusT.pdf|Comparison of Normal and T Distributions]]

Latest revision as of 00:28, 10 September 2015

Links

Practice Exams And Exams

StatCrunch Skills We Have Learned Before Summer 2015 Midterm

StatCrunch Plots We Have Learned Before Summer 2015 Midterm

  • Bar Graph
  • Pie Chart
  • Stemplot
  • Histogram
  • QQ-Plot (Normal Quantile Plot)
  • Scatter Plot
  • Scatter Plot with Regression Line overlaid
  • Residual Plot
  • Boxplot

StatCrunch Calculators We Have Learned Before Summer 2015 Midterm

  • Normal Calculator
  • Binomial Calculator

StatCrunch Statistics We Have Learned Before Summer 2015 Midterm

  • Summary Stats (Columns)
  • Summary Stats (Correlation)
  • Regression (Simple Linear)

Other Skills We Have Learned Before Summer 2015 Midterm

  • 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

StatCrunch Skills We Have Learned After the Summer 2015 Midterm

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