STAT20110: Probability Theory
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should understand:
1. The origins of Pr
STAT20110: Probability Theory
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should understand:
1. The origins of Pr
STAT20110: Probability Theory
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should understand:
1. The origins of Pr
STAT20110: Probability Theory
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should understand:
1. The origins of Pr
STAT20110: Probability Theory
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should understand:
1. The origins of Pr
STAT20110: Probability Theory
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should understand:
1. The origins of Pr
STAT20100 Inferential Statistics
Tutorial 6
Week 8
1. The Pareto distribution is used to model extreme observations. If
X Pareto(, ), then the pdf of X is
f (x) =
=
+1
x
x
, for x and > 1.
(a) Find a
STAT20100 Inferential Statistics
Tutorial 5
Week 7
(Note: Questions 1 and 2 are Tutorial 4 Questions 3&4 (which were not covered
because of Quiz 1).)
1. Let X1 , X2 , . . . , Xn be a random sample fro
STAT20100: Inferential Statistics
Homework 2
This homework is due by 5pm Monday, 30th March, 2015. You must submit your homework
at the School of Mathematical Sciences oce (G03 in Science Center North
STAT20100: Inferential Statistics
Homework 1
This homework is due by 5pm Monday, 16th February, 2015. You must submit your homework at the School of Mathematical Sciences oce (G03 in Science Center No
STAT20110: Probability Theory
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should understand:
1. The origins of Pr
STAT20110: Probability Theory
Week 5 (9th October, 2014)
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should under
STAT20110: Probability Theory
Week 8 (30th October, 2014)
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should unde
Net Profit
Purchase Cost
7,000,000.00 22,000,000.00
small Plane
Large Airplane
25,000,000.00 75,000,000.00
Quantity Purchased
1
<=
maximum Purchase
Quantity
5
3
Total Capital Purchased
250,000,000.00
Microsoft Excel 16.0 Answer Report
Worksheet: [vishwa_test1_prob1.xlsx]Sheet1
Report Created: 10/19/2016 3:55:18 PM
Result: Solver found a solution. All Constraints and optimality conditions are satis
Course: Bachelor of Business Studies (Management BBS24)
Module: Data Analysis for Decision Makers (MIS2001S)
Assignment Title: Assignment 2
Submitted by:
Cho Yaosong, Johan
Christopher Soh Xuan Yi
Luq
STAT20110: Probability Theory
Week 10 (13th November, 2014)
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should un
STAT20110: Probability Theory
Week 6 (16th October, 2014)
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should unde
STAT20110: Probability Theory
Week 9 (6th November, 2014)
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should unde
STAT20110: Probability Theory
Week 7 (23rd October, 2014)
Learning Outcomes
On completion of this module students should understand:
Learning Outcomes
On completion of this module students should unde
STAT20100 Inferential Statistics
Tutorial 4
Week 6
(Note 1: Tutorial in Week 5 was cancelled because of Science Day.
Note 2: Only Questions 1 and 2 of this Tutorial were covered in Week 6,
because of
STAT20100 Inferential Statistics
Tutorial Sheet 2
1. In the Bus Stop Example (p.15 in Lectures1and2 pdf):
(a) Using the marginal distributions found in Tutorial 1, determine if
X1 and X2 are independe
STAT20100 Inferential Statistics
Thursday, 26th March, 2015
Condence Intervals (contd)
1 / 10
Recall: Condence Intervals for Proportions
A 100(1 )% CI for p is
x Z
2
x (1 x )
, x + Z
2
n
x (1 x )
n
2
STAT20100 Inferential Statistics
Tuesday, 24th March, 2015
Condence Intervals
1 / 23
Example: Tyre Lifespans
We wish to determine a 90% condence interval for the mean lifespan
of an automobile tyre ba