Assessment Item 3: Portfolio Part I
Title:
Portfolio
Purpose:
To identify and discuss areas for professional development
Length:
1000 words (excluding title page and references list)
Group or Individual:
Individual
Optional or Compulsory:
Compulsory
Due d
Column D
Total Result
Count - Column D
Distribution of Exam results
12
10
8
6
4
2
0
Total Result
Column D
Total Result
Count - Column D
Quiz
12
10
8
6
4
2
0
Total Result
EXAM
5
5.5
6
6.5
7
7.5
8
8.5
9
9.5
10
10.5
11
11.5
12
12.5
13
13.5
14
14.5
15
15.5
16
SSQ: Hypothesis testing part 2
Question 1
Assume that you have a sample of n1 = 8 with sample meanX1 = 42 and a sample standard deviation
of S1 = 4, and you have an independent sample of n2 = 15 with sample mean X2 = 34 and a sample
standard deviation of
Take Home Assignment (Topic 3) Probability
Show all workings.
Question 1
Filling orders
Andrew, Britney and Chris fill orders in a fast-food restaurant. The table below records the
numbers of correct and incorrect orders that they filled on a randomly sel
BSB123 ASSESSMENT ITEM 2
Research Report Task total weighting 20%
Rationale
In this task, you will have the opportunity to deepen your understanding of the relevant statistical
concepts and techniques. By participating in the survey component (Part A) you
BSB123 ASSESSMENT ITEM 2
Research Report Task total weighting 20%
Rationale
In this task, you will have the opportunity to deepen your understanding of the relevant statistical
concepts and techniques. By participating in the survey component (Part A) you
lOMoARcPSD
Revision Notes, Data Analysis, 7-12 courses
Data Analysis (Queensland University of Technology)
Distributing prohibited | Downloaded by Rachel Bau ([email protected])
lOMoARcPSD
Data Analysis Final Exam Notes
Lecture 7: Sampling Distribution
1
BSB 123 DATA ANALYSIS NOTES
LECTURE 1: INTRODUCTION TO STATISTICS
INTRODUCTION TO EXCEL
LECTURE NOTES
Key Definitions
Population: members of a group about which you want to draw a conclusion ie. all of what you are
interested in
Sample: portion of sub
Workshop 2: Presenting Data & Introduction to Descriptive Measures
Excel
When calculating numerical measures we can use the built-in functions:
o Mean: =AVERAGE(data)
o Median: =MEDIAN(data)
o Mode: =MODE(data)
o Quartiles: =QUARTILE(data, quartile)
(Sol
BSB123 SAMPLE FINAL EXAM
QUESTION 1
The ABS has reported that at June 2004, 51.8% (7,820) of businesses in caf and restaurant
services had access to the Internet while 20.7% had a web presence. Suppose that you select a
random sample of 25 cafes and resta
Workshop 1: Introduction to Statistics and Excel
Question 1
The following information is collected from students as they leave the campus bookshop during the
first week of classes:
(a)
Amount of time spent shopping in the bookshop
(b)
Number of textbooks
Comparing the effect of external
factors on exam results
Student Name: Daniel Abel
Student Number: 9137521
Due Date: 02/04/2014
Semester 1, 2014
Word Count: 1134
Contents
1.0 Introduction
2.0 Outliers
3.0 Distribution of final exam results
3.1 Influence o
Symbols - Sum of
- Pi
s- standard deviation
- mean
n- sample size
level of significance a
X- each score
- standard deviation
d.f- t distribution n-1
x bar- sample mean
Topic 8 - Estimation
Topic 10 cont. Sampleinterval estimate: (point estimate (criti
Workshop 10: Hypothesis testing part 2
(Solutions provided in class OR via online videos)
Question 1
A consumer organisation is concerned about the increase in the level of credit card debt of young
customers. It commissions two surveys, in October 2004 a
SSQ: Sampling Distributions
Question 1
Find the following.
(a)
Given a normal distribution with =10 and =3, if you select a sample of n=25 find P( X
<9)
(b)
Given a normal distribution with =100 and =5, if you select a sample of n=30 find P( X
<102)
(c)
G
Data Analysis Final Exam Notes
Lecture 7: Sampling Distributions
Statistical inference: When a sample is selected to draw conclusions about a population
Sampling distribution: Distribution of possible values any sample statistic may take or spread around
x
x If P(AB)=P(A)xP(B)
t=
CV = 100Z =
Then it is independent
s
n
Z=
t.s.:
Std Dev ( x )= Var (x )
Var (x)= ( xex )2 p (x)
ex = the expected value of x
d.f. round down if value is not in t-table
p
Z=
t.s.v.:
Test of Hypothesis for the Mean ( Known)
Test t
Z-TESTING FOR MEAN - Z-DISTRIBUTION (KNOWN )
Test the assumption or status quo that the true mean of TV
sets in U.S. homes is equal to 3. Assume = 0.8
The average cost of a hotel room in New York is said to be $168 per night.
A random sample of 25 hotels
EXAMPLE EXAM QUESTION: FROM TOPIC 1
A RESEARCHER HAS COLLECTED DATA ON THE NUMBER OF BUS PASSENGERS ON EACH OF SEVERAL CITY BUS ROUTES. THE DATA COLLECTED WOULD BE CLASSIFIED AS _ AND _.
CATEGORICAL, NOMINAL
CATEGORICAL, ORDINAL
NUMERICAL, DISCRETE (
SGT 1: Introduction to Statistics and Excel
The first study group tutorial (SGT) session is designed to give everyone a chance to meet, as well
as an opportunity to review why data analysis is important to business and to think about the maths
skills you
Take Home Assignment 4
Continuous Probability Distributions
Question 1
Soda Water
A soft drink factory fills cans of soda water by setting a timer on a filling machine. It has been
found that the distribution of the amount of soda water the machine puts i
Question 1
1.
In a left-skewed distribution
the median equals the arithmetic
mean
the median is less than the
arithmetic mean
the median is larger than the
arithmetic mean
none of the above
0.5 points
Question 2
1.
The larger the spread of data around the
The collection and summarisation of the socioeconomic and physical characteristics of the
employees of a particular firm is an example of
descriptive
statistics.
inferential
statistics.
a parameter.
a statistic.
The estimation of the population average fa
Workshop 1: Introduction to Statistics and Excel
Excel
EXCEL is an important tool for business and during this course you will learn to use some of its
many features.
Please note that we realise some of you will have never used EXCEL before and as such,
Workshop 2: Presenting Data & Introduction to Descriptive Measures
Excel
When calculating numerical measures we can use the built-in functions:
o Mean: =AVERAGE(data)
o Median: =MEDIAN(data)
o Mode: =MODE(data)
o Quartiles: =QUARTILE(data, quartile)
(Sol
Workshop 3: Numerical Descriptive Measures
Excel
When calculating numerical measures we can use the built-in functions:
o Sample standard deviation: =STDEV(data)
o Population standard deviation: =STDEVP(data)
o Correlation: =CORREL(Xdata, Ydata)
NOTE: t
Data Analysis Mid-Semester Notes
Lecture 1: Introduction to Statistics
Statistics: processing and analysing data
Descriptive: collecting, presenting and characterising
Inferential: use sample to draw conclusions about the population
Population: whole data
EXAMPLE EXAM QUESTION: FROM TOPIC 1
A RESEARCHER HAS COLLECTED DATA ON THE NUMBER OF BUS PASSENGERS ON EACH OF
SEVERAL CITY BUS ROUTES. THE DATA COLLECTED WOULD BE CLASSIFIED AS _
AND _.
CATEGORICAL, NOMINAL
CATEGORICAL, ORDINAL
NUMERICAL, DISCRETE (CORRE
Junjia Huang
n8965129
[Type here]
Take Home Assignment (Topic 4) Discrete Probability Distributions
Show all workings
1.
A Betting Game
You roll a die. If an odd number comes up, you lose. If you get a 6, you win $60. If it is an
even number other than 6,
BSB123 RESEARCH
REPORT
WORD COUNT:970
Junjia Huang (Garrosh)
N8965129
2016.5.21
BSB123
Research Report
Junjia Huang n8965129
1.0 Introduction
1.1 Background
The purpose of Australia governments expenditure on higher education is to successfully
establishi