Practice Problems Ch 12 to 13
Chapter 12 From Randomness to Probability
1) What is the probability of an event?
A) A number between 0 and 1 that reports the likelihood of the event's occurrence
B) A collection of outcomes
C) A single attempt or realizatio
Chapter 6 Scatterplots, Association, and Correlation
1) Suppose you were to collect data for altitude and air pressure in order to make a scatterplot.
Determine for each variable if it is the explanatory variable or the response variable.
A) altitude is r
Review Questions Ch 1 to 3
Ch 1
1) B
2) A (political affiliation have categories including Conservative, Liberal, etc)
3) B (waiting time can take values, say 1 min, 1.5 min, etc)
Ch 2
4) % accepted = 760/1470 = 52%
% wait-listed = 269/1470 = 18%
% turned
Practice Questions Ch 14
Chapter 14 Random Variables
1) Jo is a hairstylist. The probability model below describes the number of clients that she may see in a
day.
What is the expected value of the number of clients that Jo sees per day?
A) 2.7
B) 3.00
C)
Stat 151 Midterm Version 111
LAST NAME: _
FIRST NAME: _
STUDENT ID: _
STAT 151 SECTION: _
Instructions:
1) Personal items must be placed aside prior to the start of the exam.
2) All portable electronic devices must be turned off, including cell phones, pa
Stat 151 B1
Group 59
Lab 3
SCHULTZ, Jaydon
TRAN, Michelle
1. a) The question that the people were asked could have been biased towards an
atheist answer or a non-atheist answer. Being that some of the interviews were face to
face the person answering the
STAT 151 B1
Group 45
Lab 4
SCHULTZ, Jaydon
CHAO, Amanda
HU, Xinyue
1.
a) Since the 36 subjects are selected by voluntary, this sample is a voluntary sample. The
results cannot be generalized to the populations of pregnant non-vegetarians, pregnant
vegetar
Stat 151 B1
Group 59
Lab 3
SCHULTZ, Jaydon
TRAN, Michelle
1. a) The question that the people were asked could have been biased towards an
atheist answer or a non-atheist answer. Being that some of the interviews were face to
face the person answering the
Ch 20 Inference About Mean
20.1 The CLT Revisited
Now that we know how to create confidence intervals and test
hypotheses about proportions, itd be nice to be able to do the
same for means.
Just as we did before, we will base both our confidence interval
Practice Problems Ch 23
Chapter 23 Comparing Counts
1) A researcher performed a study to determine whether an association exists between sex and blood
type. He obtained the following sample data.
Decide which chi-square test (goodness-of fit, homogeneity,
Chapter 23
1. Testing for association independent test
2. Expected
3. Ho: the die is fair
Ha: the die is not fair
1.
reject Ho
4. Ho: gender and blood type are independent
Ha: gender and blood type are not independent
5. Expected cell counts are at least
Practice Problems Ch 17-19
Chapter 17 Testing Hypotheses About Proportions
Write the null and alternative hypotheses you would use to test the following situation.
1) A mayor is concerned about the percentage of city residents who express disapproval of h
Practice Problems Ch 20-22
Chapter 20 Inferences About Means
Using the t-tables, software, or a calculator, estimate the critical value of t for the given confidence
interval and degrees of freedom.
1) 80% confidence interval with df = 11
A) 1.280
B) 1.37
Practice Problems Ch 25
Chapter 25 Analysis of Variance
1) A horticulturist wants to test the effectiveness of four types of fertilizer on the growth rate of Bermuda
grass. Six sections of grass are randomly assigned to each of the four fertilizer types,
Practice Problems Ch 16
Chapter 16 Confidence Intervals for Proportions
1) In a survey of 1,300 T.V. viewers, 30% said they watch network news programs. Find the margin of
error for this survey if we want 95% confidence in our estimate of the percent of T
Practice Problems Ch 15
Chapter 15 Sampling Distribution Models
1) In a large statistics class, the professor has each student toss a coin 14 times and calculate the
proportion of his or her tosses that were tails. The students then report their results,
Statistics 252 Homework # 4 Fall 2016
STAT 252 Homework 4 (74 marks) Due Friday, December 2 by 10 pm
For questions that state SHOW ALL STEPS, write all the steps of a hypothesis test or confidence interval as
indicated below. For other questions that say
SOLUTIONS TO ASSIGNMENT 2
Question 1
(a)
The purpose of the study is to compare the survival times of patients, who have advanced cancers
of the breast, bronchus, colon, ovary or stomach, and then examine whether patient survival differs
with respect to t
Chapter 9 Understanding Randomness
Random: if we know the possible values it can have, but not which particular value it takes
9.1 What is Randomness?
Random: must be fair, nobody can guess outcome before it happens, usually some underlying
set of outcome
Chapter 1 Introduction
Statistics: the science about how to collect, summarize, analyze, present and interpret data and
to make decisions; using data to get knowledge about the world around us (data values useless
without context - five Ws)
Population: en
Chapter 1 Stats Starts Here
1.1 What Is Statistics?
Data: any collection of numbers, characters, images, or other items that provide information
about something
- Vary, helps make sense of world by seeing past underlying variation to find patterns and
rel
Chapter#23 - Chi-Square Tests
Chi-square tests are used when we want to compare several proportions obtained from one or more
categorical variables. For example, we could ask if the birth months of the students in this class
distributed as we would expect
Chapter#7 Linear Regression
7.1 Least Squares The Line of Best Fit
We can model a linear relationship by finding an equation for the straight line that best describes the
pattern of the scatterplot. We then predict the outcome of an individual's response
Chapter 22 Paired Samples
With dependent samples, each subject in one sample has a matched pair in the other sample.
Examples:
Using twins, having one twin in each sample, can reduce certain environmental lurking
variables.
Husband and wives can be matche
Chapter#6 Scatterplots, Association, and Correlation
6.1 Scatterplots
A scatterplot is a display for two quantitative variables. It uses the horizontal axis for the explanatory
variable and the vertical axis for the response variable. The values for the t
Chapter 21 Comparing Two Means
We want to make an inference about the value of 1 2 based on the point estimate y 1 y2 .
To do this, let n1 be the size of sample 1 , n2 be the size of sample 2.
s1 be the standard deviation of sample 1 , s2 be the standard
University of Alberta
Department of Mathematical
and Statistical Sciences
STATS 151- Section A1
Introduction to Applied Statistics I
Midterm Examination
Time: 70 Minutes Instructor: A. Simchi June 1, .2012
INSTRUCTIONS
TEXTBOOK AND SHEET OF NOTES ARE NOT
Chapter 19 - Comparing Two Proportions
When we compare population proportions of two different groups we look at the difference p 1 p2
between the two proportion. We take a sample from each group, and this difference is estimated by the
difference in the
Chapter 19 - Comparing Two Proportions
When we compare population proportions of two different groups we look at the difference p 1 p2
between the two proportion. We take a sample from each group, and this difference is estimated by the
difference in the
Chapter 20 Inferences About Means
Recall the general formula for a confidence interval:
point estimate margin of error
When dealing with means, the point estimate for is y . The margin of error is given by t (se)
s
where se = (estimated by se =
), and t i