Fall 2007 STAT 200 Sec 101 Chapter 3 PRS Questions
Section 3.1 Types of studies
In a test of 100 men and women, those with moderately high blood pressure did
worse on tests of memory and reaction time than those with normal blood
pressure.
Q1: This study
Circle the correct answer (Q1—Q4, 1 mark each):
1. Suppose a simple random sample is selected from a population with mean u and variance 02.
2.
3.
The central limit theorem tells us that
(A) the sample mean 3? gets closer to the population mean u as the s
STAT 200
Chapter 5
The Standard Deviation as a Ruler and the Normal
Model
How do shifting and scaling the data affect the mean, SD and other
summary statistics?
1. Shifting the data
add a constant c to each observation in the data
any measure of center
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 made about specifi
STAT 200
Chapters 7 & 8 Linear Regression
Objective: to describe a linear relationship between two quantitative
variables using a model. The model fits a straight line to the data, and
can be used to make predictions on the response variable y given the
e
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 distributions o
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) frequency table shows a
STAT 200
Chapters 12-14 Probability and Random Variables
Do you ever wonder how email spam filters work? In simple terms,
algorithms are developed to screen incoming emails. Each email message
is assigned a spam score (based on whether certain spammy word
STAT 200
Chapter 3
Displaying and Summarizing Quantitative Data
Graphical presentations of distributions of quantitative data
Histogram
Stem-and-leaf display
Boxplot
Eugenia Yu, UBC Department of Statistics. Not to be copied, used, or revised without e
Winter 2013 STAT 200
Chapter 28 Analysis of Variance
Objective: to compare the means of three or more independent
populations
Examples:
Comparison of mean annual income among 4 populations: university
graduates who have a major in computer science, civ
Winter 2013 STAT 200
Chapters 23 Inferences About Means
Let y be a variable that follows a certain distribution with mean and
standard deviation . If we have a large enough sample size n, and other
necessary conditions being satisfied, then the sampling
Winter 2013 STAT 200
Chapter 26
Comparing Counts
Objective: to test the significance of associations between two
categorical variables
Example: Is smoking status independent (not associated) with heart
disease?
Smoking Status
Smoker
Non Smoker
Total
Hea
Fall 2007 Statistics 200 Assignment 2 Due on Nov 23, 2007
1. Recall the data set from Assignment 1, giving information on two groups of mice: selection and
control. The variables are BM10: body mass at age 10 weeks, BM50: body mass at age 50 weeks,
WH: av
Fall 2007 STAT 200 Practice Final Exam
1. Circle whether the following statements are true or false: [2 marks each]
a) Suppose the chance that you will be ticketed for illegal parking on campus is 1/4.
During the last 5 days, you have illegally parked eve
Fall 2007 Statistics 200 Assignment 1 Due on Oct 26, 2007
1. (This is a lab-based question. You must obtain plots and summary statistics using
Excel.)
To study the genetic component of physical activity at young ages, an evolutionary biologist ran
a lab e
Fall 2007 STAT 200 Sec 101 Chapter 2 PRS Questions
Classdata (Q1-Q3)
Q1: Consider the scatterplot of right hand size versus right foot size. We can say that
these variables are .
1) Positively associated.
2) Negatively associated.
3) Not associated.
Answe
Fall 2007 Statistics 200 Assignment 1
Suggested solutions to Question 2
2. The following is a scientic research article. Read it and answer the questions below.
Eating Apples and Fish During Pregnancy May Protect against Childhood Asthma
and Allergies
Sou
Elementary Statistics for Applications: Assignment 1
Solution
3. African bush elephants are the largest landing dwelling animals. The
weight of an adult, in kg, is approximately Normally distributed with
standard deviation 500kg.
1. (a) Suppose that it is
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 intelligence relate
STAT 200
Chapter 15
Sampling Distribution Models
Population vs. sample, parameter vs. statistic
Population vs. sample, parameter vs. statistic
The complete collection of individuals that we want to study about
is called a population. A census provides a
STAT 200, Lang Wu
1
Chapter 2. Finding Relationship in Data
2.1. Relationship Between Two Continuous Variables
So far we have mostly focused on data from one variable. In practice, we usually
have data on more than one variables. For example, we may have
STAT 200, Lang Wu
1
Chapter 5. Sampling Distributions
5.1. Introduction
A statistic, such as the sample mean x, based on a random sample can also
be viewed as a random variable. The probability distribution of the statistic is
then called its sampling dis
STAT 200, Lang Wu
1
Chapter 4. Probability
4.1. Randomness and Probability
Probability is a science studying uncertainty or randomness. Probability is important in statistics since statistical inference is based on samples from a population and these samp
STAT 200, Lang Wu
1
Chapter 1. Data Displays and Summaries
1.1. Displaying Data with Graphs
Statistics is about learning from data, i.e., getting useful information from data.
Statistics is becoming increasingly important in modern world, since many impor
STAT 200, Lang Wu
1
Chapter 7. Inference for Population Proportions
7.1. Introduction
Proportions or percentages are used to summarize discrete (binary) data, such
as the proportions or percentages of adults who smoke or drink in a city or
country (popula
STAT 200, Lang Wu
1
Chapter 6. Introduction to Inference
6.1. Estimating with Confidence
Suppose that we wish to estimate the average age (denoted by ) of the population in Vancouver. We can randomly choose a sample of (say) n = 1000 people
in Vancouver,
Qualitative/categorical: ordinal (with order) OR nominal
Frequency (relative / %) tables, Bar chart height ~ freq. (area principle), Pie
chart. Contingency tables (shows relationship between two variables)
. Marginal distribution: look at distribution of