Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
STATS 2000

Winter 2015
Unit 6 Practice Questions
1. We would like to determine how the time a student spends studying for an exam affects
his or her score. Study times (in hours) and exam scores (in %) are shown in the table
below for a sample of eight students:
Student
Study T
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Unit 1 Examining Distributions
Outline
STAT1000  Basic Statistical Analysis I
1
Introduction
2
Types of Variables
3
Displaying Distributions with Graphs
4
Describing Distributions with Numbers
Fall 2014
STAT1000  Basic Statistical Analysis I
1 / 120
STA
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Unit 6 Randomness and Probability
Unit 6 Randomness and Probability
Variability and Randomness
Probability
Statistics involves the study of variability. But how can we work with
something that involves so much uncertainty?
We toss a coin and record the pr
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Unit 2 Scatterplots, Correlation and Regression
Unit 2 Scatterplots, Correlation and Regression
Termniology
So far, we have been looking at different ways to summarize and depict a
single quantitative variable. We will now begin looking at relationships t
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Unit 5 Density Curves and the Normal Distribution
Unit 5 Density Curves and the Normal Distribution
Density Curves
Density Curves
We have some data and draw histograms and we get a picture of the
distribution.
Returning to our histogram from our barley ex
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Unit 10 Inference for Population Mean ( unknown)
Unit 10 Inference for Population Mean ( unknown)
Objectives
Inference for the mean of a population:
The t distributions.
Unit 10 Inference for the mean of a population
when is unknown.
The onesample t conf
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Unit 3 Design of Experiments
Unit 3 Design of Experiments
Obtaining Data
We considered extracting information from data using:
Broadly speaking, there are two ways that we can obtain data:
Graphical tools (histograms, stemplot).
Numerical summaries.
Weve
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Unit 9 Tests of Significance
Hypothesis Testing
Confidence intervals are one type of inference, allowing us to make
some sort of statement about the mean of a population. The second
we will be looking at is known as hypothesis testing.
Unit 9 Tests of Sig
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Unit 8 Confidence Intervals
Overview of Inference
Methods for drawing conclusions about a population from sample data are
called statistical inference.
The objective of statistical inference is to make a statement about some
parameter of interest based on
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Unit 7 Sampling Distributions
Unit 7 Sampling Distributions
Distribution of the Sample Mean
Distribution of the Sample Mean
Suppose that, rather being interested in probability calculations for some
variable on a single individual, we are instead interest
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
STAT 1000 A04 Family Name, First Name: A 3) Sgm' [25124
December 07, 2016 Student ID: 1
Quiz 3
Instructions: Answer the following questions completely. Show all your work. This quiz
is worth 10 marks.
1. 2 marks
A restaurant manager has compiled the follo
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Sample Final Exam Questions Units 6 11
Part A MultipleChoice
1. In a particular election, 40% of voters voted for the NDP, 35% voted for the Liberals
and 25% voted for the Conservatives. If we take a random sample of two voters, what
is the probability t
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Sample Midterm A
1. Consider the following:
Film ratings exist to inform parents about the content of movies, so they can decide
which films are appropriate for their children to see, and at what age. Examples
of film ratings include General (appropriate
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
(Q
STAT 1000 A04 CRN: 10093 i Name: 201? Mfg:
senseless 30 29,19 7 ,7 , Jo lmlgmg Student ID:
Quiz 1
Instructions: Answer the following questions completely on the provided space. Show all
your work. This quiz has a total of 15 marks.
1. A consumer report
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
STAT 1000 A04 CRN: 10093 Family Name, Name: 3.!" l/ K153)
October 21, 2016 Student ID:
Quiz 2
Instructions: Answer the following questions completely on the provided space. Show all
your work. This quiz has a total of 15 marks.
1. A frustrated student won
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
BIOL 1000 Dr. Markham
Review questions for midterm 2
1. During the light reactions of photosynthesis, the energy used to make ATP comes
from:
a. electron carriers
b. carbon dioxide
c. water
d. photons
2. The electrons passed from NADPH to the carbon molec
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
STAT 1000 A04 ' Family Name, First Name:
December 21, 2016 Student ID:
Quiz 4
Instructions: Answer the following questions completely. Show all your work. This quiz
is worth 12 marks.
1. 3 marks
The weights of oranges sold at a grocery store follow a norm
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
STAT 1000 Formula Sheet
1. r =
1
n
1
n
X
xi
i=1
x
sx
3. b0 = y
5. z = r
7. n =
y
sy
b1 x
n k
4. P (X = k) =
p (1
k
6. p z
yi
sy
sx
2. b1 = r
p
p(1
r
p
z
m
p)
n
p(1
p)
n
2
p (1
p )
p)n
k
1
=
sx sy (n
1)
n
X
i=1
(xi
x) (yi
y)
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Midterm Solutions
1.
2.
3.
4.
5.
E
E
E
D
C
21.
22.
23.
24.
25.
D
D
D
A
E
6.
7.
8.
9.
10.
X
X
E
A
D
26.
27.
28.
29.
30.
C
C
C
B
A
11.
12.
13.
14.
15.
D
C
E
A
B
31.
32.
33.
34.
35.
A
C
B
C
B
16.
17.
18.
19.
20.
E
B
E
B
E
36.
37.
38.
39.
40.
E
D
B
A
D
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
Stats
STATS 1000

Fall 2015
Assignment)1)solutions:)
)
Question 1:
The following tables give the results for the top three horses in the first three races at Assiniboia Downs for
August 16, 2013.
Horses start in gates numbered 1 through 10 from left to right on the track. In horse r
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
STATS 2000

Winter 2015
U33
Comparing Several Means
There is a problem with conducting these six tests separately
we will get six different Pvalues.
Suppose we used = 0.05 as our level of significance for each
of the tests. Now we have a 5% chance of incorrectly rejecting
the
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
STATS 2000

Winter 2015
U13
Distribution of the Sample Mean
To find this distribution, we ask:
What would happen if we repeatedly took samples
of the same size n from the population and
calculated ?
U11
Probability Distribution
U14
Distribution of the Sample Mean
The probabil
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
STATS 2000

Winter 2015
U43
Probability
We toss a coin and record the proportion of heads that
has been observed after each toss. Assuming the coin
is fair, the likelihood of observing a Head is the same
as that for observing a Tail. There is a 50% chance of
either outcome.
Sup
Université de SaintBoniface (USB) (Affiliated with the University of Manitoba)
STATS 2000

Winter 2015
U53
Distribution of a Sample Proportion
Let be the sample proportion of successes in a simple
random sample drawn from a large population having
population proportion p of successes.
The mean and standard deviation of
are
and
U54
U51
Distribution of a