STAT 217
Inferences based on small Sample(s)
1. The average fuel consumption of a 4-wheel drive truck is 12.9 L/100 km. The average fuel consumption
for seven randomly selected trucks is 13.5, 13.0, 12.6, 12.2, 12.8, 12.9, and 13.1. Assume the fuel
consum
Page 1 of 10
Part 1: Multiple Choice: For each multiple-choice question, identify the correct answer and fill in the corresponding
choice on the scan-tron sheet provided. Each question is worth 2 marks.
All parents worry about their children, especially,
Chi-Square Distribution
The distribution of the chi-square statistic is called the chi-square distribution. In this
lesson, we learn to compute the chi-square statistic and find the probability associated
with the statistic.
The Chi-Square Statistic
In pr
Statistics 217 Review Problems
1.
In the past a chemical plant has produced an average of 1100lb of a chemical per day. A random
sample of 260 operating days from this year shows that the sample mean and standard deviation are
1040 and 360, respectively.
Class Examples: Point Estimates and
Confidence Intervals (with Solutions)
1.
A random sample of 45 door-to-door encyclopedia salespersons were
asked how long on average they were able to talk to the potential customer. Their
answers revealed a mean of 8.5
Name:
Sample midterm
ID:
Solution
UNIVERSITY OF CALGARY
DEPARTMENT OF MATHEMATICS AND STATISTICS
STATISTICS 217 L02 WINTER 2008
MIDTERM EXAMINATION Solution
Instructor: Xuewen Lu
Date: March 3, 2008
Time: 50 Minutes
1. This examination is scheduled for a
Tzu-Hui Tseng
F2015STAT217L01
217 Assignment 1 due Sep 20 2015 is due on Sunday, September 20, 2015 at 11:59pm.
The number of attempts available for each question is noted beside the question. If you are having trouble guring out your error,
you should co
217 Assignment 1 due Sep 20 2015: Problem 1
M. m
[1 point} For each problem, select the best response.
is) The P -value of a test of a null hypothesis is
. _ .A. the probability the null hypothesis is false.
. _ . B. the probability, assuming the null hyp
THE UNIVERSITY OF CALGARY
DEPARTMENT OF MATHEMATICS AND STATISTICS
STATISTICS 217 - L02 FINAL EXAMINATION (SOLUTIONS)
Dec 13 (Tuesday), 12:00-2:00 PM, KN RED
SURNAME
Fall, 2011
GIVEN NAMES
Time: 2 Hours
I.D.
STUDENT IDENTIFICATION
Each candidate must sign
THE UNIVERSITY OF CALGARY
DEPARTMENT OF MATHEMATICS AND STATISTICS
STATISTICS 217 - L01, L02 and L06 FINAL EXAMINATION
April 24
Winter, 2008
SURNAME
GIVEN NAMES
Time: 2 Hours
I.D.
STUDENT IDENTIFICATION
Each candidate must sign the Seating List conrming p
Chi-Square Goodness of Fit Test Poisson
example;
You can use the Poisson distribution to find the probability of a specic
number of arrivals per minute at a bank located in the central business
district of a city.
Suppose that you recorded the actual arri
What is Hypothesis Testing?
A statistical hypothesis is an assumption about a population parameter. This assumption may or may not
be true. Hypothesis testing refers to the formal procedures used by statisticians to accept or reject
statistical hypotheses
Chi-Square Goodness of Fit Test
This lesson explains how to conduct a chi-square goodness of t test. The
test is applied when you have one categorical variable from a single
population. ILLS used to determine Whhlmpligle comment With a
hypothesized distri
An analysis of variance (ANOVA) for
Regression
An analysis of variance (ANOVA) table for regression displays quantities that measure how much of the
variability in the y-variable is explained and how much is not explained by the regression relationship wi
Chi-Square Test for Independence
This lesson explains how to conduct a chi-square test for independence.
The test is applied when you have two categorical variables from a single
population. It is used to determine whether there is a significant associati
MannWhitney test (also called the
Wilcoxon rank-sum test)
Normal probability plot
The normal probability plot is a graphical technique for normality testing:
assessing whether or not a data set is approximately normally distributed.
A normal probabili
Example: A person is not feeling well and decides to go see their physician. After a thorough physical
examination, the attending physician says I will take some tests. On the basis of these tests, a decision
(diagnosis) will be made. Consider the followi
Hypothesis Test for Regression
This lesson describes how to conduct a hypothesis test to determine whether there is a significant linear
relationship between an independent variable X and a dependent variable Y. The test focuses on the slope or
intercept
Two-Way ANOVA. with replication
The two-way analysis of variance is an extension to the one-way analysis of variance.
There are two independent variables (hence the name two-way).
Assumptions
0 The populations from which the samples were obtained must be
Username: Scott RobisonBook: Statistics, Twelfth Edition. No part of any book may be reproduced or transmitted in any form by
any means without the publisher's prior written permission. Use (other than pursuant to the qualified fair use privilege) in viol
Completed Randomized Block Design
(CRBD)/Two-way ANOVA
This is very similar to the one-way ANOVA except the samples are not independent.
We can think of the two-way ANOVA as an extension of the paired t-test where instead
of two measurements, there are th
STATISTICS 217 Lab #3: Comparing Two Population Means and
Variances
Recall from Lab #1, you were asked to use parts (four variables) of a large data set that
consisted of data collected on seventeen different variables from n = 101 students taking
Statist
An analysis of variance (AN OVA) for
L) limb, par wLoL is pro. Cyfcclcyl.
An analysis of variance (ANOVA) table for regression displays quantities that measure how much of the
variability in the y-variable is explained and how much is not explained by th
How to Test the Equality of Variance /
Standard Deviation
We have seen how knowing if the variance of two populations are
equivalent plays a roll in determining what kind of a two-sample t-test we
perform.
Recall:
If 1 2
o We combine the two sample stand
Two-Way ANOVA with replication
The two-way analysis of variance is an extension to the one-way analysis of variance.
There are two independent variables (hence the name two-way).
Assumptions
The populations from which the samples were obtained must be nor
How to Test the Equality of Variance /
Standard Deviation
We have seen how knowing if the variance of two populations are
equivalent plays a roll in determining what kind of a two-sample t-test we
perform.
Recall:
' If 01 :6 02
0 We combine the two sample
Stat 217 Lab 2
I.
Hypothesis testing for a single population mean
(e) Testing a population mean using a two-tailed test Z-test statistics
One-Sample Z
Test of = 1.2 vs 1.2
The assumed standard deviation = 0.4982
N
100
Mean
1.0517
SE Mean
0.0498
95% CI
(0.
Mid-Term Review Questions
STAT217/L01/KV
October 10, 2016
Sample exam
(Duration: 60 minutes)
* In your Mid-term exam, relevant MINTAB worksheet will be provided to do
the relevant work.
(1) The manager of a restaurant in a large city claims that waiters w