STAT 200 - Elementary Statistics for Applications
Sample Surveys
Camila Casquilho
The University of British Columbia, Department of Statistics
Adapted notes from: Eugenia Yu, The University of British Columbia, Department of Statistics
Why do we need samp
Winter 2013 STAT 200
Chapter 6
The Standard Deviation as a Ruler and the Normal
Model
How do shifting and scaling the data aect the mean, SD and other
summary statistics?
1. Shifting the data
add a constant c to each observation in the data
any measure
Winter 2013 STAT 200
Chapters 8 & 9 Linear Regression
Objective: to describe a linear relationship between two quantitative
variables using a model. The model ts a straight line to the data, and
can be used to make predictions on the response variable y g
Winter 2013 STAT 200
Chapter 4
Displaying and Summarizing Quantitative Data
Graphical presentations of distributions of quantitative data
I. Histogram
Example: How big were the earthquakes that occurred in British Columbia
during Aug 2011 - Aug 2012?
Euge
Winter 2013 STAT 200
Chapter 3 Displaying and Describing Categorical Data
Displaying Data for Categorical Variables
For categorical data, the key is to group similar things together.
I. Frequency tables / Relative frequency tables
A (relative) frequency t
Winter 2013 STAT 200
Chapters 1 & 2 Introduction and Data
What is Statistics?
Statistics is a science that involves the design of studies, data collection,
summarizing and analyzing the data, interpreting the results and drawing
conclusions.
Conclusions a
For questions 1 27, there is only one correct answer from those given. Mark your answer to each question
with a pencil on the sheet provided. Ambiguous responses will be considered incorrect.
1. If two lists of numbers have exactly the same mean of 30 and
STAT 200 Final exam review
Statistical inferences Confidence intervals and hypothesis testing (Chapter 19-21, 23-26, 28)
1. Determine if the variable of interest is quantitative or categorical
If categorical, we summarize the variable by a proportion or
STAT 200 Final exam review questions
For each of the following questions, identify the appropriate statistical method to analyze the data. Also
set up the hypotheses.
Q1
Twenty lab mice were randomly divided into 2 groups of 10. One group was fed Diet A a
For questions 1 30, circle one answer only. If making an error, write your nal answer clearly in the margin.
Ambiguous responses will be considered incorrect.
1. The mean age of ve people in a room is 30 years. One of the people whose age is 50, leaves th
For questions 1 24, circle one answer only. If making an error, write your nal answer clearly in the margin.
Ambiguous responses will be considered incorrect.
1. The mean age of ve people in a room is 30 years. One of the people whose age is 50, leaves th
1. Harris recently installed a spam lter software, but he still saw spam emails in his inbox. He
made a daily record of the number of spam emails that were delivered to his inbox over the
past 20 days. The following is a frequency histogram for his data.
Winter 2013 STAT 200
Chapters 14-17
Probability and Random Variables
Do you ever wonder how email spam lters work? In simple terms,
algorithms are developed to screen incoming emails. Each email message
is assigned a spam score (based on whether certain s
Winter 2013 STAT 200
Chapter 7 Scatterplots, Association, and Correlation
Motivating Examples
Question #1:
intelligent?
Do people with bigger brains tend to be more
Statistical process of investigation:
1. Formulate research question:
How is human intelli
STAT 200 - Elementary Statistics for Applications
Experiments and Observational Studies
Camila Casquilho
The University of British Columbia, Department of Statistics
Adapted notes from: Eugenia Yu, The University of British Columbia, Department of Statist
STAT 200 - Elementary Statistics for Applications
Linear Regression
Camila Casquilho
The University of British Columbia, Department of Statistics
Adapted notes from: Eugenia Yu, The University of British Columbia, Department of Statistics
Linear Regressio
STAT 200 - Elementary Statistics for Applications
Sampling Distribution Models
Camila Casquilho
The University of British Columbia, Department of Statistics
Adapted notes from: Eugenia Yu, The University of British Columbia, Department of Statistics
1 / 3
Winter 2015/16 STAT 200
Chapter 6 Scatterplots, Association, and Correlation
Motivating Examples
Question #1:
intelligent?
Do people with bigger brains tend to be more
Statistical process of investigation:
1. Formulate research question:
How is human inte
Winter 2015/16 STAT 200
Chapter 4
Understanding and Comparing Distributions
Comparing Distributions with Histograms
When we are comparing two or more distributions using the histogram,
one should plot the histograms on the same scale.
Example: How do the
Winter 2015/16 STAT 200
Chapter 3
Displaying and Summarizing Quantitative Data
Graphical presentations of distributions of quantitative data
I. Histogram
Example: How big were the earthquakes that occurred in British Columbia
during Aug 2011 - Aug 2012?
E
Winter 2015/16 STAT 200
Chapter 5
The Standard Deviation as a Ruler and the Normal
Model
How do shifting and scaling the data aect the mean, SD and other
summary statistics?
1. Shifting the data
add a constant c to each observation in the data
any measu
Winter 2015/16 STAT 200
Chapter 2 Displaying and Describing Categorical Data
Displaying Data for Categorical Variables
For categorical data, the key is to group similar things together.
I. Frequency tables / Relative frequency tables
A (relative) frequenc
Winter 2015/16 STAT 200
Chapter 1 Stats Starts Here
What is Statistics?
Statistics is a science that involves the design of studies, data collection,
summarizing and analyzing the data, interpreting the results and drawing
conclusions.
Conclusions are mad
Winter 2013 STAT 200
Chapter 24
Comparing Means between Two Independent Groups
Objective: to compare the means of two INDEPENDENT populations
We draw a random sample from each of the two independent
populations:
y11, y12, , y1n1 (sample size n1) from a
Winter 2013 STAT 200
Chapters 22 Comparing Two Proportions
In Chapters 19-21, we have learned how to perform parameter estimation
and hypothesis tests on a single population proportion. Oftentimes, there
is more than one population of interest. In particu
1. The following boxplots show left hand lengths. The boxplot on the left shows data from left
handers. The boxplot on the right shows data from right handers.
Which of the following statements is (are) correct about the distributions of the left hand siz
1. The following boxplots show left hand lengths. The boxplot on the left shows data from left
handers. The boxplot on the right shows data from right handers.
Which of the following statements is (are) correct about the distributions of the left hand siz
Winter 2014/15 STAT 200
Chapter 6
The Standard Deviation as a Ruler and the Normal
Model
How do shifting and scaling the data aect the mean, SD and other
summary statistics?
1. Shifting the data
add a constant c to each observation in the data
any measu
Winter 2014/15 STAT 200
Chapter 7 Scatterplots, Association, and Correlation
Motivating Examples
Question #1:
intelligent?
Do people with bigger brains tend to be more
Statistical process of investigation:
1. Formulate research question:
How is human inte
Statistics 200
Experimental design H1N1 Vaccine Trial
Eugenia Yu, UBC
Statistics pertains to our daily lives!
An example .
The Sanofi
H1N1 Influenza
Vaccine Trial
The Sanofi H1N1 Influenza Vaccine Trial
sponsored by the U.S. National Institute of
Allergy
Chapter 6 - Confidence Intervals
6.1
Confidence Interval for the
Mean
Parameter: A numerical measurement
describing some characteristic of a
population.
Statistic: A numerical measurement
describing some characteristic of a
sample.
A common problem in sta