STAT2060-Package (1).pdf - CHAPTER: University of Guelph...

CHAPTER:
University of Guelph
COURSE:
STAT*2060
INSTRUCTOR:
*Take Home Package*
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Stats Handout
Note: Going through questions is the best way to learn. We strongly
recommend going through old tests/textbook examples.
Table of Contents
-summary of topics (1-4)
-Descriptive Statistics
-Probability
-summary of topics (5-8)
-Discrete Distributions
-Continuous Distributions
-Confidence Intervals
-topic 9
-Type1 vs Type2 errors
-Overview of p-values and significance
levels -topic 10
-Paired difference experiments
-topic 11
-Hypothesis test for a single proportion
-Hypothesis test for the difference between two
proportions -topic 12
-Hypothesis test for a single variance
-Hypothesis test for two population variances
-topic 13
-Chi-squared tests for one-way tables (goodness of fit)
` -Chi-squared tests for two-way tables (test for independence)
-topic 14
-1-way ANOVA to test for a difference in population
means -topic 15
-sample questions/what to look for
-Concept questions
-Calculation questions
-Interpreting output questions
Raising Marks, Raising Money, Raising Roofs

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Overview of Topics (1-4)
Descriptive Statistics
For the final, there is thankfully not a whole lot from the first few sections which is too
important. For a lot of theory type questions, it will be very important to have a clear
idea of what each of the following are.
- Sample: A collection of data from the population
- Population: The entire group being studied
- Statistic: A numerical property of the sample. (has a hat to distinguish
from parameter)
- Parameter: A numerical property of the population.
- Mean: The average value of a sample or population. (formula given on final)
- Variance: A measure of the spread of a sample or population. (formula given on
final)
- Standard deviation: the square root of variance.
- Skewness: Rather than being symmetrical, a distribution is skewed if the
peak of the distribution lies away from the mean of the distribution.
- Right-skew: the peak is to the left of the mean.