HAWK I

Introduction ot Statistics

Alliant Moodle

 Table of contents

 

 

 Victionary of statistical terms 
 Statistics formulas
 Normal distribution tables 
  
 
Chapter 1: Distribution representations

 Lesson 1a: Individuals and variables
 Lesson 1b: Graphic distributions - pie charts
 Lesson 1c: Graphic distributions: bar graphs
 Lesson 1d: Graphic distributions: histograms 
 Lesson 1e: Graphic distributions: stemplots 
 Guided homework chapter 1: graphic representations 
 Quiz ch 1 (10 questions)
 
 
 

Chapter 2: Measures of central tendency

 Lesson 2a: Mean, median and mode
 Lesson 2b: Variance
 Lesson 2c: Standard deviation
 Lesson 2d: Outliers
 Lesson 2e: Quartiles
 Lesson 2f: Five-number summary 
 Lesson 2g: Boxplots
 Guided homework chapter 2: measures of central tendency 
 Quiz ch 2 (10 questions)
 
 


Chapter 3: Normal distributions

 Lesson 3a: Density curves
 Lesson 3b: Normal distribution curves
 Lesson 3c: Empirical rule
 Lesson 3d: standardized scores (z scores)
 Lesson 3e: Standard normal distributions 
 Lesson 3f - 1: z table - how to use it
 Lesson 3f - 2: z is less than -1.33 Find the area 
 Lesson 3f - 3: z > -2.17 Find the area
 Lesson 3f - 4: -1.35 < z < 0.62 Find the area 
 Lesson 3f - 5: Backwards z table - given a percent first 
 Lesson 3f - 6: Real standardized data examples 
 Guided homework chapter 3: normal distributions 
 Quiz ch 3 (20 questions)
 
 

Chapter 4: Correlations and lines of regression

 Lesson 4a: Explanatory and response variables 
 Lesson 4b: Scatterplots
 Lesson 4c: Correlation
 Lesson 4d: Lines of regression
 Lesson 4e: Least-squares regression line
 Guided homework chapter 4: correlations and lines of regression 
 Quiz ch 04 (11 questions)
 
 
 
Chapter 5: General probability

 Lesson 5a: Events and outcomes
 Lesson 5b: Probability models
 Lesson 5c: Probability rules
 Lesson 5d: Conditional probability - general addition rule
 Lesson 5e: Conditional probability - B given A
 Lesson 5f: Conditional probability - general multiplication rule
 Lesson 5g: Discrete and continuous probability models
 Guided homework chapter 5: general probabilities #1 
 Guided homework chapter 5: general probabilities #2 
 Quiz ch 05 (15 questions)
 
 
 
Midterm chapters 1 - 5 (46 questions) 
 
 
 
Chapter 6: Binomial probability

 Lesson 6a: Binomial settings
 Lesson 6b: Binomial distributions
 Lesson 6c: Binomial coefficients
 Lesson 6d: Binomial probabilities
 Lesson 6e: Binomial mean and standard deviation
 Guided homework chapter 6: binomial probabilities #1 
 Guided homework chapter 6: binomial probabilities #2 
 Quiz ch 06 (15 questions)
 
 
 
Chapter 7: Sampling distributions

 Lesson 7a: Statistics and parameters
 Lesson 7b: Law of large numbers
 Lesson 7c: Sampling distributions
 Lesson 7d: Sampling distribution probabilities
 Guided homework chapter 7: sampling means #1
 Guided homework chapter 7: sampling means #2
 Quiz ch 07 (12 questions)
 
 
 
Chapter 8: Confidence intervals

 Lesson 8a: Conditions for a confidence interval
 Lesson 8b: Confidence levels
 Lesson 8c: Margin of error
 Lesson 8d: Confidence intervals
 Lesson 8e: Sample size
 Guided homework chapter 8: confidence intervals #1 
 Quiz ch 08 (20 questions)
 


Chapter 9: Null hypothesis - the basics

 Lesson 9a: Tests of significance
 Lesson 9b: Null hypothesis
 Lesson 9c: Test statistics
 Lesson 9d: P-values
 Lesson 9e: Significance
 Lesson 9f: Type I and Type II errors
 Lesson 9g: Test of significance - the entire process
 Guided homework chapter 9: null hypothesis
 Quiz ch 09 (27 questions)
 
 
 
Chapter 10: t tests

 Lesson 10a: t test formulas
 Lesson 10b: t distribution table
 Lesson 10c: One-sample t test statistic
 Lesson 10d: One-sample t test confidence interval
 Lesson 10e: One-sample t test - the entire process
 Lesson 10f: Two-sample t test statistic
 Lesson 10g: Two-sample t test confidence interval
 Lesson 10h: Two-sample t test - the entire process
 Guided homework chapter 10: t tests 
 Quiz ch 10 (20 questions)
 
 
 
 Final Exam chapters 6 - 10 (69 questions)

 

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