Age: it is a nominal and a categorical variable, and can only be sorted with a bar graph or pie
chart. The graph is skewed to the right, with the majority of the data between age 18 to 25. Using
age can help to find a correlation between the students GPA
Test Canvas: Problem Set 1 2016 Fall Term (1) .
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STAT 113 Final Project Part A
The main purpose of this project is to apply statistical analysis onto a real-world
situation. In this particular assignment, we are to use data given in different variables and use
them to scrutinize students academic perfor
Name:
Period:
Waves-Wave Behaviors
1. While playing, two children create a standing wave
in a rope, as shown in the diagram below. A third
child participates by jumping the rope.
What is the wavelength of this standing wave?
1. 2.15 m
2. 4.30 m
3. 6.4
Hunter College of CUNY
Department of Mathematics and Statistics
Fall 2016
SYLLABUS
STAT 113
ELEMENTARY PROBABILITY AND STATISTICS
Course Description: An Introduction to applied statistics and statistical computing. Hands-on data analysis. Graphical infere
Review Sheet Exam 3
1
Multiple Choice
1. In an experiment involving four different treatments, each consisting of 5 subjects, the degrees
of freedom for between treatment variance equals
a. 4
b. 20
c. 3
d. 5
2. In an experiment involving three different t
Ahmed Elsayed
Professor. Sal Leggio
03/15/2016
Part B
Age: it is a nominal and a categorical variable, and can only be sorted with a bar graph or pie
chart. The graph is skewed to the right, with the majority of the data between age 15 to 25. Using
age ca
Ahmed Elsayed
Professor Sal Leggio
STATS 113
04/02/2016
1) GPA and HSP
We would want to use HSP because it has a positive correlation with GPA. It's helpful
because we want students who will have a high HSP because it shows they are in a high
percentile i
Ahmed Elsayed
Professor. Sal Leggio
02/26/2016
Part A
I am tasked with compiling data in order to help determine how successful new incoming
students will be at the university. The data will help provide the college with a better picture of
what kind of s
Lisa Choo
Professor Kikuno Nonoyama
Stats 113
April 3, 2013
ID: This is not a relevant variable since. Its purpose it just to identify the individual
without mentioning their names. There are no outliers because the variable is linear. The
unit of measure
Lisa Choo
Professor Kikuno Nonoyama
Stats 113
May 15, 2013
Appendix: Project Summary
I. Pre-project Plan Part A
This is the introduction to the project, and a brainstorm in a sense, of
how the project will begin to develop. In this section, you will see i
Lisa Choo
Professor Kikuno Nonoyama
Stats 113
May 1, 2013
In this project, we defined the use for each variable and grouped them by means
of categorical or quantitative value. We considered the importance of each variable, if
there were any outliers, and
Lisa Choo
Professor Kikuno Nonoyama
Stats 113
April 17, 13
Many variables can correlate with each other, and we can use graphs, such as
scatterplots (two quantitative variables) and boxplots (one quantitative, one qualitative),
to view how strong or weak
Lisa Choo
Professor Kikuno Nonoyama
Stats 113
May 15, 2013
A Letter To the Supervisor
The problem that I have been presented with is that of a common one. In practice,
colleges and universities will not admit students with bad grades, that is a no brainer
Lisa Choo
Professor Kikuno Nonoyama
Stats 113
How To:
Enroll Students
For
Admissions
O ff i c e r s
Lisa Choo
Professor Kikuno Nonoyama
Stats 113
May 15, 2013
Appendix: Project Summary
I. Letter to the Supervisor Part E
The letter to the supervisor is the
Quainat Zaman
Homework
Stat113
Chap 7 TRE-67-17 CIGARETTE TAR/CO According to the scatterplot, there seems to be a strong linear
correlation between cigarettes and Carbon Monoxide because the points are all in the positive direction and clustered. BM3-251
Quainat Zaman Stat 113 Sec. 5 Homework
WEE-358-65: Weight a- The percentage of males that weight between 190 and 210lbs. is about 13.5%. b- The percentage of males that weigh less than 150lbs. is 3.8%. TES-225-13: TV Warranties a- The probability that the
Quainat Zaman Section 5
From Chapter 4 WE7-147-140 STEWED TOMATOES The quality control engineer does have reason to not believe the true mean is 14 oz. because the z score is 8.2, which is a much larger standard deviation than .4 oz. WE7-147-141 BUYING A
Q uainat Zaman
Lesson 4 TRE-89-22: Regular Diet Coke
Section 5
The mean is .816, and the median is .877 for the regular coke, however for the diet coke it is about .784. It can be concluded that there is not a significant difference from regular and diet.
Quainat Zaman February 9, 2011 Section 5 HOMEWORK Chapter 3 WE7-80-102 The Great White Shark
Answer : The distribution is skewed to the r ight even though it appears to be almost perfectly symmetrical due to i ts bell shaped curve. M11-36-15: Best-Paid CE
Quainat Zaman February 5, 2011 Section 5 HOMEWORK
From Lesson 2: Question: D13-17-12/MOLTEN IRON Answer: In the Cleveland Casting Plant, the temperature (is the who) of the iron was being tested (is the what) for the purpose of seeing how constant or clos