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 percentile and GPA because as one
increases so does the other.
Interpreting scatterplots
After plotting two variables on a
scatterplot, we describe the
relationship by examining the form,
direction, and strength of the
association. We look for an overall
pattern
Form: linear, curved, clusters, no
pattern
Direction:
Descriptive statistics utilizes
numerical and graphical methods
to look for patterns in a data set, to
summarize the information
revealed in a data set, and to
present that information in a
convenient form.
Inferential statistics utilizes sample
data to m
Taking Extraneous Variables into Account
Extraneous variables are variables other than the explanatory variables in an experiment
that may also have an effect on the response variable. There are several
strategies for dealing with extraneous variables in
The most straightforward sampling method is called simple random
sampling. A simple random sample is a sample chosen using a method that ensures
that each different possible sample of the desired size has an equal chance of being the
one chosen.
Although
Graphical Methods for Describing
Data
Categorical Data: Bar charts, Pie
charts
Numerical Data: Stemplot,
Histogram, Cumulative relative
frequency plot, Scatter plot,
Time series plot
Stemplot- Stem-and-Leaf Display
Select one or more leading digits
for
An experiment is a study in which one or more explanatory variables are manipulated
in order to observe the effect on a response variable.
The explanatory variables are those variables that have values that are controlled
by the experimenter. Explanatory
population of interest: the entire collection of individuals or objects about which information is
desired
sample: a subset of the population selected for study.
Descriptive statistics: the branch of statistics that includes methods for organizing
and sum
Key Concepts in Experimental Design
Random Assignment
Random assignment (of subjects to treatments or of treatments to trials) to
ensure that the experiment does not systematically favor one experimental condition
(treatment) over another.
Blocking
Using
There is no way to tell just by looking at a sample whether it is representative of the
population from which it was drawn. Our only assurance comes from the method used
to select the sample.
There are many reasons for selecting a sample rather than obtai
A bar chart is a graph of a frequency distribution of categorical data. Each category
in the frequency distribution is represented by a bar or rectangle, and the picture is
constructed in such a way that the area of each bar is proportional to the corresp
G&W 9e: Chapter 1 HW Solutions
2)
A parameter is a characteristic of a population. A statistic is a characteristic of a sample.
The statistic is our best estimate of the parameter when the population is not available.
14)
a) Ordinal measures have an order
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,
CLASS, COLLEGE, MAJOR, RESIDENCY, TYPE, MATH, ENGLISH.
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 reason
to be behind the average student. This is importa
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 percentile shows what rank the student
was in their high s
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 work and good grades. As seen in previous
college acce
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 successful at the
University of West Erlham County. I am
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 corresponds with his/her classification. In other words, it revea
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 factors and
variables make up a successful student. This
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 important pairs that I will be using to
compare to each other i
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]
Office Hours:
Monday 7:00pm to 8:00pm at the Dolcia
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? Why? The shape of the distribution would be skewed to
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 inches. Using the 68-9599.7 Rule answer the following ques
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 (relevant) outcomes Event: A set of outcomes (any subset o
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 and B) =
#outcomes in both A and B / #total outcomes
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 variables are strongly correlated, if we know an individ
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, one can:
View a histogram of X Answer questions about the