Stat 201 Practice Final Exam August 2017
Practice Question 1: Match the following terms to their descriptions. Each term is used
once or not at all. (7 pts)
_
Using a statistical pattern
f
beyond the
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CHAP TER 23
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Two Categorical Variables: The Chi-Square Test
A P P LY Y O U R K N O W L E D G E
You oer be ready, there's only three topics le: ANOVA,
Crosstabs, and Regression.
Earlier in the semester, we looked at how to $nd a di%erence
between the means of two groups.
We did this by taking a
An ANOVA table is like a solution that comes with its own package.
ANOVA/Review example: We have a zombie outbreak. Weve
identified the cause: the nefarious Bayes Virus.
So far, we have five possible
Crosstabs
Crosstabs
(also called two-way tables, or contingency tables)
Let's look at two nominal variables together.
A table of the frequencies of that combinations of these
variables appear together
Regression
Regression is used to further describe a linear relationship
between two variables.
(Pearson) Correlation and regression.
Reading example
Heating Cost Example
Predicting values
R-squared
Wi
Practice Question 1: Ipsoles has hired you to see if people jump higher while
wearing their new line of shoes than in the competitors shoes. Theyve measured
the jump height in cm from group I wearing
Terms and concepts you should know (not a complete list, but a good core):
- Probability
a. The addition rule, P(A or B) = P(A) + P(B) when A and B cant happen together.
b. The multiplication rule, P(
STAT 270 Assignment 1
Summer, 2017
1. The Marks.csv data set consists of the final marks of 172 students who took STAT 3xx at the
University of xxxxxxxx, along with the pre-requisite course (A or B) t
STAT 270 Assignment 3
Due: Friday, July 14, by 4pm
1. The number of clicks on a popular YouTube video is thought to follow a Poisson process
with a rate of 2 clicks per minute.
(a) (2 marks) What is t
STAT 270 Assignment 4
Due Fri., August 4, 2017, at 4pm
1. A gardener plants some tomato seeds, and after 30 days measures the heights (in cm) of a
random sample of 100 of the seedlings. The data are r
STAT 270 Assignment 2
1. The overall detection rate of breast cancer using a mammogram is approximately 80%. The
false positive rate is approximately 7%. The prevalence of breast cancer in 40 year old
STATS201
January 5, 2017
CHAPTER 1: Picturing Distributions with Graphs
2 common methods to collect data: observational studies and experiments
Large, careful observational studies more expensive, eas
STATS201
CHAPTER 2: Describing Distributions with Numbers
September 12, 2016
2.1: Measuring Center The Mean
Mean ordinary arithmetic average, most common measure of center
To find the mean of set of o
5/26/2017
Lecture 6
or through Canvas (click on Redirect Tool) in
the navigation pane
Probability
Access at
http:/www.sfu.ca/lectures
Definition and properties
The discrete uniform distribution
Condit
STAT 270: Lecture 1
Introduction to Probability and Statistics
Rachel Altman
1 / 13
Agenda
1
Course information
2
What is statistics? What is probability?
3
Some examples
2 / 13
Course Information
I w
5/19/2017
More on descriptive statistics
Percentiles and quartiles
Boxplots
Scatterplots
Correlation
Lecture 4
Other measures of location
and spread
Let p be a number between 0 and 1
The 100pth percen
6/30/2017
Lecture 15
Distribution functions for
describing multiple rvs
E.g., our class of 155 students has 55 CS
students, 19 Econ students, and 81 others
Say I choose 10 students, with replacement,
6/9/2017
On Wed., June 14
I will be away
Jack Davis will lead a problem-solving session (Ch.
4 material)
No office hours
Lecture 10
On Thurs., June 15
I will have office hours 2-3pm
Midterm
pmfs
C
6/2/2017
Counting rules
Product rule
Permutation rule
Combination rule
Lecture 8
Products, permutations, and
combinations
Let an experiment, E, be comprised of k
smaller experiments, E1, E2,Ek.
The
STAT 270: Lecture 2
Introduction to Probability and Statistics
Rachel Altman
1 / 11
Agenda
1
Summary statistics
2
Some statistical language
2 / 11
Question: Do Girls Text More than Boys, on Average?
I
7/7/2017
Statistics (definition, examples)
Central limit theorem
Lecture 17
Definition and examples
A random sample is a collection of rvs,
, , , that are independent and identically
distributed (iid
5/18/2017
More on descriptive statistics
Skewness and symmetry
Measures of location
Measures of dispersion
Lecture 3
Describing the shape of a
histogram
Histogram
seems roughly
symmetrical
but bewa
Combinatorics Problems
1. How many 4 letter words exist (using the Roman alphabet)?
a. 4!
b. 26!
26
c.
4
d. 264
2. How many ways can a president and vice-president be elected from a group of 10 stude
6/23/2017
Continuous random variables
Lecture 13
Cumulative distribution function (cdf)
Example using the exponential cdf
Probability density function (pdf)
Examples (exponential, uniform, normal, gam
5/31/2017
Please download from Google Play or the App
Store in time for Fridays class
See my email for instructions
Lecture 7
Independence of events
Counting rules
Product rule
Permutation rule
Com
6/21/2017
Variance and standard deviation
Poisson process
In Chapter 2 we learned the definition of
Lecture 12
sample variance
Measures of spread of a rv
On a histogram, the sample variance
describes
Combinatorics Problems
1. How many 4 letter words exist (using the Roman alphabet)?
a. 4!
b. 26!
26
c.
4
d. 264
2. How many ways can a president and vice-president be elected from a group of 10 stude
6/8/2017
Discrete random variables
Probability mass function (pmf)
Examples of discrete distributions
Lecture 9
Definition and examples
A random variable (rv) is a real-valued
function of the sample s
6/28/2017
Continuous distributions
Expectation and variance
Percentiles
Jointly distributed rvs
As in the discrete case, expectation of a
continuous rv is a measure of its centrality
For a continuou