Statistics
Correlation does not imply causation, kids.
Quiz Thursday 10/31:
•Writing a regression equation from computer output
•Making a prediction
•Calculating a residual
•Determining when model over- or under- estimates a data point
•Reading a residual plot
Below is a practice quiz with answers and explanations:
Below is a practice quiz with answers and explanations. [The only thing missing is sketches of the normal distribution.]
The actual quiz will be on Thursday 10/10
z-scores, Normal distributions, and percentiles
Where to find notes and examples in the textbook:
Any Distribution
•Standardizing and unstandardizing scores (page 86)
Normal distributions
•Find the percentage when you know the z-score (page 84)
•Find the z-score when you know the percentage (page 85)
•Standardizing scores (page 86)
•Interpreting z-scores (page 87)
Homework:
Page 93+: –E59, 61, 62, 63, 64, 65
Statistics Textbook: https://drive.google.com/file/d/10B5Z2kMGRpEz4w72jFmi9b30e5wp_TWi/view?usp=sharing
Statistics Syllabus: https://drive.google.com/file/d/1tVptRlY9CETrRuScWwrKt1rTgXGGP6OP/view?usp=sharing
Standard Deviation Spreadsheet for TBA Lesson:
https://docs.google.com/spreadsheets/d/10tAGane39Rk8a367j_SzjyX6z99vjov1l7xl5naGuv0/edit?usp=sharing
- Sign in to your Google account.
- Make a copy of the spreadsheet so you can edit it.
- Find the standard deviation for the class data.
Bureau of Justice Statistics Website for 9/19/19 Lesson:
- Pick two states, a type of crime, and a range of years.
- Download the data as a spreadsheet.
- Make a histogram, find the 5-number summary, mean, IQR, and standard deviation for each state.
- Describe and compare the distributions in terms of shape, center, and spread.
- Save this information in a file and email to me at kheinri@tacoma.k12.wa.us
mean = AVERAGE(cell range)
standard deviation = STDEV(cell range)
minimum =MIN(cell range)
first quartile =QUARTILE.INC(cell range, 1)
median =QUARTILE.INC(cell range, 2)
third quartile =QUARTILE.INC(cell range, 3)
maximum =MAX(cell range)
Quiz Next Tuesday (9/17)
•Know what sample, statistic, population, and parameter mean, and how to identify them in context
•Know what counts (and does not count) as a random process
•Know the definition of bias
•Be able to identify if a method is biased or unbiased from a sampling distribution
•Know what size, voluntary response, convenience, undercoverage, nonresponse, and questionnaire bias are, and be able to identify them in context.
•Know what a simple random sample is, and how you could design one to select a sample
Quiz Review (Questions first, then answers provided later in the document)
Survey Data
Types of Bias Notes
PowerPoint Notes