Sheet1
SEX HSP GPA AGE CREDITS CLASS
F
71 2.75
22
119 Senior
F
71 3.63
22
106 Senior
M
44 2.41
20
51 Sophomore
F
95 3.53
22
140 Senior
F
94
3.8
20
65 Junior
M
70 2.97
23
120 Senior
F
75 2.26
21
51 Sop
STAT 113-05
10 April, 2016
PART C
12 Pairs:
Age and Class - By analyzing the age and class of a student we can conclude if
the person ever got left behind, took time off, or if they have any medical r
AS2-56-41: Canadian Income According to Statistics Canada, in 2004 the median household income in Canada was $58,100 and the mean was $76,100.What would you predict about the shape of the distribution
Project Part D
Olivia Lam
Professor Liang
In Part D of this project I will be discussing six important pairs of variables that will be
useful for the University of West Erlham County. The six importan
Mohamad ElSayed
STAT 113
11/9/2016
Part C
In the data set that we are given we can see that we have thirteen different variables to
choose from. These variables are: COMP, SEX, HSP, GPA, AGE, CREDITS,
Hunter College of CUNY Fall 2014
Elementary Probability and Statistics - STAT 113.01 Code 12325 (3 Credits)
M, Th (HN 305) 8:10 am 9:25 am
Instructor: Alejandro Falchettore
Email: [email protected]
Mohamad Elsayed
STAT 113
Part A
In this course we will be researching an objective in that we will try to answer. This
research objective that we are trying to answer with our analysis would be what f
Professor Susan Donovan
Stats 113
Part D:
1. HIGH SCHOOL PERCENTILE & GPA
The x-axis is the high school percentile and the y-axis is GPA
There is a positive correlation between high school percentil
Stat 113
High School Percentile & Cumulative College Grade Point Average
This graph shows the correlation between High School Percentile and Cumulative
College Grade Point Average. The high school per
Statistics 113
October 5, 2016
Part B: Description of the Variables
Variable 1: SEX
Colleges often want to maintain a balanced student community. The diversity of
both males and females encourage hard
Statistics 113
25 September 2016
Part A: Pre-Project Plan
In this statistics project, I am expected to analyze a set of data known as the
Midwest Scholastic Data to determine which students are most s
STAT 113
Class 2
Data and Measurement The Distribution of a Variable
OBJECTIVE A: DATA
What is data?
Values, Labels, or Names that record/contain information about individuals in an orderly fashion, t
Stat 113
Distributions Master subtitle style Click to edit and their Summary Statistics
2/16/11
Distribution
Activ Stats: The distribution of a
variable gives the values the variable can take on, and
Class 4
Stat113 Click to edit Master subtitle style
2/16/11
Review
Density Curve: A mathematical model of the distribution of a variable
Approximates a histogram
Given actual data for a variable X, on
Ch9: Regression
Stat113
Correlation
Weve seen that correlation measures the linear relationship between two variables
In what direction? (pos. or neg.) How strong? (close to 1, or to -1)
When two v
Conditional Probability
Stat113
Review
For a sample space of equally likely outcomes, given two events A and B P(A) =
#outcomes in A / #total outcomes
P(B)
= #outcomes in B / #total outcomes
P(A
Randomness and Intuitive Probability
Stat113 Click to edit Master subtitle style
2/16/11
Basic Terminology
Outcome: Possible result of an experiment or phenomenon Sample Space: Set of all possible (re
Statistics113 Fall2010
Normal Density (Part 1)
1) The distribution of heights of American women aged 18 to 24 is approximately normally distributed with mean 65.5 inches and standard deviation 2.5 inc
Statistics 113
Professor Thaler
29 October 2016
Project Part C: Comparing Variables
1. Age and Class
The combination of these the variables, age and class can tell whether the
students age correspond
Class 7
Stat 113
Box plots
A graphical representation of a variable Illustrates center, spread, and skewness Takes a 5 number summary perspective good for broad comparisons between classes of individ