Minitab Project Report
This graph shows a standard normal approximation to the binomial distribution.
This graph shows a normal approximation to a non-symmetrical binomial distribution
This graph shows a normal approximation to a Poisson distribution.

Econometrics
Problem Set 8
WISE, Xiamen University
Spring 2015
Conceptual Questions
1. (SW 9.2) Consider the one-variable regression model: Yi = 0 + 1 Xi + ui , and suppose
that it satisfies the three least squares assumptions. Suppose that Yi is measured

QUEEN MARY, UNIVERSITY OF LONDON
MTH 4106
Introduction to Statistics
Practical 8
14 March 2016
This week we will see how to do the 1-sample z test.
1 (Two-Sided One-Sample z Test) Suppose that we have collected the following data on the thrust of a rocket

QUEEN MARY, UNIVERSITY OF LONDON
MTH 4106
Introduction to Statistics
Practical 9
21 March 2016
Today we will use Minitabs inbuilt information about the binomial distribution to calculate and plot power curves for hypothesis tests about a proportion.
1 (On

Minitab Project Report
This scatterplot suggests a positive relationship between atmospheric pressure and the
boiling point of water. Regression Analysis: BP versus AP
Analysis of Variance
Source
Regression
AP
Error
Total
DF
1
1
29
30
Adj SS
2272.47
2272.

Jason Rodgers 150246864 Tuesday 4-5
Minitab Project Report
Points in the normal
plot follow roughly a
straight line so errors
are normally
distributed.
In the "Versus Fits"
graph, the x values are
of a fairly similar
spread, suggesting that
the errors hav

Regression Analysis: Root Y versus X
Analysis of Variance
Source
Regression
X
Error
Lack-of-Fit
Pure Error
Total
DF
1
1
61
27
34
62
Adj SS
386.06
386.06
31.56
12.89
18.67
417.62
Adj MS
386.058
386.058
0.517
0.477
0.549
F-Value
746.22
746.22
P-Value
0.000

QUEEN MARY, UNIVERSITY OF LONDON
MTH 4106
Introduction to Statistics
Practical 5
15 February 2016
1 (Plotting a Probability Mass Function as a Histogram) In Practical 4,
we plotted the probability mass function of several discrete random variables.
Someti

QUEEN MARY, UNIVERSITY OF LONDON
MTH 4106
Introduction to Statistics
Practical 1
18 January 2016
In this practical, you will be introduced to the statistical computing package
called Minitab. You will use this package throughout this course, and also in
s

QUEEN MARY, UNIVERSITY OF LONDON
MTH 4106
Introduction to Statistics
Practical 6
29 February 2016
Today we will
see how Minitab simulates data from standard distributions;
become more familiar with covariance and the correlation coefficient;
verify som

QUEEN MARY, UNIVERSITY OF LONDON
MTH 4106
Introduction to Statistics
Practical 7
7 March 2016
Today we will
draw graphs to show how well the normal distribution approximates the
binomial and Poisson distributions;
use an example to demonstrate the Law o

Minitab Project Report
Descriptive Statistics: X1
Variable
X1
N
200
N*
0
Mean
4.405
SE Mean
0.156
StDev
2.203
Minimum
0.000
Q1
3.000
Median
4.000
Q3
6.000
Maximum
14.000
Descriptive Statistics: X2
Variable
Maximum
X2
6.0000
N
N*
Mean
SE Mean
StDev
Minimum

QUEEN MARY, UNIVERSITY OF LONDON
MTH 4106
Introduction to Statistics
Practical 4
8 February 2016
Today we will use Minitabs inbuilt information about the most important
discrete random variables. We will learn how to
list the values of the probability ma

QUEEN MARY, UNIVERSITY OF LONDON
MTH 4106
Introduction to Statistics
Practical 2
25 January 2016
If you did not do so last week, please complete Practical 1 before going on to
do the following.
Today we will
retrieve last weeks project,
learn how to do

School of Mathematical Sciences
MTH5122 Statistical Methods, 2016
Assignment 1
You should attempt all questions. Solutions to the feedback question are to be submitted by groups of (at most) 3 students. Feedback question to be handed in by Friday 9th
Octo

School of Mathematical Sciences
MTH5122 Statistical Methods, 2016
Assignment 5
You should attempt all questions. Solutions to the feedback question are to be submitted by groups of 3 students. Feedback question to be handed in by Friday 4th November
12.00

School of Mathematical Sciences
MTH5122 Statistical Methods, 2016
Assignment 2
You should attempt all questions. Solutions to the feedback question are to be submitted by groups of 3 students. Feedback question to be handed in by Friday 14th October
12.00

MTH5112 Linear Algebra I 2016-2017
Coursework 2
Please hand in your group solution of the starred* feedback exercises by 4pm on Friday 14
October using the red Linear Algebra I Collection Box in the Basement. Dont forget to put your
names, student numbers

ECN214: Games and Strategies (201617)
Topic 3 Exercises
3.1 Consider the following four games in strategic form.
G1
l
u 0, 0
m 1, 1
d 2, 6
c
1, 1
4, 4
1, 1
r
6, 2
1, 1
0, 0
G2
l
u 7, 3
m 1, 9
d 5, 5
c
6, 4
2, 8
7, 3
r
8, 2
0, 10
9, 1
G3
l
u 3, 3
m 9, 9
d

ECN214: Games and Strategies (201617)
Topic 1 Exercises
1.1 Learn how to play the game Connect Four [link on QMplus]. Then show that in
the following situation, with Plus () to move first and Minus () to move second,
Plus has a winning strategy.
1.2 In

MTH5112 Linear Algebra I 2016-2017
Coursework 5
Please hand in your group solution of the starred* feedback exercises by 4pm on Friday 4 November using the red Linear Algebra I Collection Box in the Basement. Dont forget to put your names,
student numbers