Wednesday July 27th
Business Statistics Lecture 2
THREE APPROACHES TO ASSESSING PROBABILITY
A priori classical probability
Based on prior knowledge.
Empirical classical probability
Based on observed data.
Based on individual judg
SIT191 Problem solving task 1
Due: no later than 5pm Monday April 11th
Total marks: 75
1.1 Suppose that information recorded for students studying a particular subject in Trimester 1 includes student ID,
name, gender, post code, mobile phon
SIT191 Problem solving task 3 solutions 2016
a) Ho : p1 = p2 (p1 -p 2 = 0) 1: surgery, 2: wrist splints
Ha : p1 > p 2 (p1 p2 > 0)
Ho : There is no difference in the improvement rates between the two groups
Ha : The improvement rate is higher for t
Problem Solving Task 1 solutions
(total marks: 75)
a) Who: students studying a particular subject
What: student ID, name, gender, post code, mobile phone number, course enrolled in, campus of
enrolment, distance travelled to university, assignm
SIT191 Problem solving task 2
Due: no later than 5pm Monday May 9th
Total marks: 90
2.1 In Australia, 49% of the population have blood type O, 38% have type A, 10% have type B and 3% have type AB.
a) Describe how you would use random number
SIT191 Problem solving 2 solutions 2016
a) Use numbers of the same width that reflect the correct blood type percentages.
Eg: 00 - 48 type O, 49 86 type A, 87 96 type B, 97 99 type AB (other allocations are possible)
Every 2 digits in a row of the ran
SIT191 Problem solving task 3
Due: no later than 5pm Friday May 27th
Total marks: 90
3.1 Carpal tunnel syndrome is a painful wrist condition that can be treated with surgery or less invasively with wrist
splints. In a study of 180 patients
Wednesday July 20th
Business Statistics Lecture 1
WHAT IS BUSINESS STATISTICS?
It is an application of statistics in the workplace.
WHERE WILL WE USE IT?
Can use statistics to predict a firm declaring bankruptcy, default on loans.
Wednesday August 3rd
Business Statistics Lecture 3
INTRODUCTION TO PROBABILITY DISTRIBUTIONS
Represents a possible numerical value from an uncertain event.
DISCRETE RANDOM VARIABLES
Can only assume a countable number of values.
Business Statistics 1
Tutorial (Week 3)
Questions for in-class tutorial:
Q1. Given the contingency table above, what is the probability of
a. Event A? P(A)=30/90=1/3
b. Event B? (Self-Study) P (A and B) = 10/
SIT191 Problem Solving task 3 2016 Alans Solutions
Always read the questions with great care, even this phase can be tricky. In this question it
turns out as far as a Hypothesis test goes its one sided test of a difference of two sample