1. A hospital decides to bring in a new surgical resident with a known high success rate for total
knee replacements. The new resident has a current success rate of 0.96. Suppose on his first
day, the resident is supposed to complete 4 total knee replacem
MooreIntro3620056
ips_tables
October 6, 2010
13:30
TABLES
TABLE A Standard Normal Probabilities
TABLE B Random Digits
TABLE C Binomial Probabilities
TABLE D t Distribution Critical Values
TABLE E F Critical Values
TABLE F 2 Distribution Critical Values
T
Questions for review:
For questions 1 10, choose the one alternative that best completes the statement or
answers the question.
1. An education researcher randomly selects 38 schools from one school district and
interviews all the teachers at each of the
Kwantlen MATH 1115 Statistics 1 Week 8, 9 Chapter 5
Chapter 5.1 The Sampling Distribution of a Sample Mean
Kwantlen MATH 1115 Statistics 1 Week 8, 9 Chapter 5
The fact that the sample mean of an SRS from a Normal population has a Normal distribution is a
MATH 11 15
Study Guide for Final Exam
The nal exam time and place
Tables and formula sheets will be provided. Bring your calculator.
l. A thorough review of the entire course is necessary to do well on the nal exam. Use
weekly outlines to recall the exa
Hypothesis Test for Mean
Hypothesis Test for Proportion
Data Summary
Data Summary
n
4
Mean
3.765
StdDev 1.3675891196
User Input
H0 Mean
n
x
phat
User Input
LeftTail Test
Left Critical t
5000000
pvalue 0.9941032397
Righttail Test
Right Critical t
5000
Table1: Demographic characteristics of expectant mothers in Kesses Division
Parameters
Marital status
Married
Divorced
Single
Age group
Mean age
<=18
1935
36+
Gestation
1/13/2014
1426
27+
Gravidae
Nulligravidae
Multigravida
Hiv status
HIVHIV+
Freq.
Perc
Produce an SPSS output for an independent samples ttest comparing male and female scores on
selfesteem.
Independent Samples Test
Levene's Test for Equality of Variances
F
SCORES
Equal variances assumed
Sig.
.603
Equal variances not assumed
t
.447
df
.
Hands on Practical,
SeptemberNovember 2016
To execute this in STATA, SAS and R applications
Part 1: Data Transformation and Merging
You are provided with 3 datasetswhich are in Excelformats. The datasets names are as follows
tblVillage, tblScreen and tbl
Tutorial: Introduction to Stata
Exercise 1: Do the following tasks.
(The command sequences and some further explanation is attached)
1.
2.
3.
4.
5.
6.
7.
8.
9.
Open a session in Stata
Open the editor window
Clear and set the memory to 1 megabite
Download
Kwantlen MATH 1115 Statistics 1 Week 4, 5 Chapter 2
Chapter 2.1 Scatterplots
When you examine the relationship between two or more variables, first ask the preliminary questions

What cases do the data describe?
What variables are present? How are they m
Kwantlen MATH 1115 Statistics 1 Week 6, 7 Chapter 4
Chapter 4.1 Randomness
As you explore randomness, remember:


You must have a long series of independent independence trials. That is, the outcome of one
trial must not influence the outcome of any oth
Kwantlen MATH 1115 Statistics 1 Week 1, 2 Chapter 3
Introductory Terminology:


Statistics The study of collecting, organizing, and interpreting numerical data.
Data Data is a set of values of qualitative or quantitative variables.
Data Analysis Data An
Kwantlen MATH 1115 Statistics 1 Week 2, 3 Chapter 1
Terminology:

Cases  are the objects described by a set of data. Cases may be customers, companies, subjects
in a study, or other objects.
Categorical Variable places a case into one of several groups.
Kwantlen MATH 1115 Statistics 1 Week 10, 11 Chapter 7
Chapter 7.1: Interence for the Mean of a population
Kwantlen MATH 1115 Statistics 1 Week 10, 11 Chapter 7
The following are key points to remember concerning matched pairs:
1. A matched pairs analysis
Kwantlen MATH 1115 Statistics 1 Week 9, 10 Chapter 6

Confidence intervals are for estimating the value of a population parameter
Tests of Significance assesses the evidence for a claim
Formula for test statistic:
Kwantlen MATH 1115 Statistics 1 Week 9,
Kwantlen Math 1115 Statistics 1 Formula Sheet
Normal Distributions:
Population
(parameter)
Center
(mean)
=
Spread
(standard deviation)
=
Sample
(statistic)
xi
Sampling Distribution of
xx
x
=
n
( x i ) 2
s=
n
xi
x =
n
x
( x i )2
xi
n
x=
n1
n
Approx.
Kwaniien Math W5 Siasiios l Receivedtl\O7~ZO\+
FORMULAS
Mean la 2 in ; = in
N n
2 2
Standard deviation 0' = s = 2 (xi 3")
N n l
zscore z = x _ u
0'
Correlation coefcient
r = 1 29930")?
11 1 sxsy
Regression line
3
J7=b0 +be Where b1 =rl and b0 =fb
9m
15m
8m
9m
10m
Math 1115 Sample Final Exam
1. A student has to answer a quiz with two multiple choice questions. On the rst question, there
are 5 options, only one of which is correct, and on the second four options. Not having prepared
for the quiz, th
[3]
[1]
[6]
[4]
[2]
[4]
[8]
Math 1115 Sample Final Examination
1. Answer each question.
(a) What is the difference between a statistic and a parameter. Give an example to illustrate
this difference.
(b) Which of the following sampling methods is not consi
Introduction to Excel
Excel is a spreadsheet which allows you to enter data into cells, and do calculations on
that data. Excel also comes with some graphing and statistics abilities, which are what
concern us most in this course.
Referring to Cells and R