Based on the following qqplots,
how well do you think a Gaussian
model fit the data?
If you think a Gaussian model does
not fit the data indicate another
model that you think might fit better.
Suppose y1,y2,yn is an observed random sample
from the distrib
STAT 221/231 Midterm Test 1
Thursday October 13, 4:40-6:10 pm
Seating for Midterm Test 1 is predetermined so please check your seat assignment at
https:/odyssey.uwaterloo.ca/teaching/schedule after 1pm on Friday October 7.
Bring your Watcard and a ruler.
STAT 231 Tutorial Test 2
Wednesday November 2 in your scheduled tutorial time.
You may ONLY write in your assigned tutorial time.
Seating is predetermined so please check your seat assignment at
https:/odyssey.uwaterloo.ca/teaching/schedule
Bring your Wat
STAT 221/231 - Statistics
Fall 2016
Course Syllabus
The Course Information Page:
learn.uwaterloo.ca You are expected to regularly read your UWaterloo email and visit the course website on Learn for
announcements.
Instructors:
Sec Instructor
001 Cyntha Str
The following data set y1,y2,y39 consists of
the annual income for 39 people selected at
random from people living in Conestogo. The
data are in thousands dollars.
23
42
56
69
26
44
56
73
28
44
56
76
28
48
58
77
31
49
58
81
39
=1 = 2157
34
51
59
86
and
35
Chi-Squared Distribution
Fall 2016
()
Chi-Squared Distribution
Fall 2016
1 / 19
A New Distribution
A distribution that is used frequently in methods of
estimation and hypothesis testing is a distribution called
the Chi-squared distribution.
This distribut
1: [7
1 = 7 marks] Circle the letter corresponding to the correct answer.
(a) Consider an experiment in which data y1 ; y2 ; :; yn are collected and the sample mean y =
1
n
n
P
yi
i=1
is used to estimate the mean of the population. Which of the following
1: [7
1 = 7 marks] Circle the letter corresponding to the correct answer.
(a) Consider an experiment in which data y1 ; y2 ; :; yn are collected and the sample mean y =
1
n
n
P
yi
i=1
is used to estimate the mean of the population. Which of the following
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ID Number:
NAME (Please Print):
Signature:
Marker Initials (iii) A point estimate of 9 based on the observed data is _ .
(iv) An approximate 95% condence interval for 0 based on the observed data is _
(11) By reference to the condence interval