1)
Marketing science assessment details
you will have
to produce SPSS outputs using each of the analytic tools covered in the lecture, and interpret the con
tent of these outputs. In this process, you should keep track of the different steps by providing
Feliciano, Eilynn B.
Retuya, Erica P.
BM 180
LABORATORY 3
Dependent Variable
Independent Variables
Ever used drugs
Freq go to
parties
Ever tried
smoking
Ever tried
alcoholic
drinks
Public or
Private
school
Own room
A. Independent variable : freq go to par
STAT 101: 4TH LE EXERCISES
SOROMASOC
Obesity is a risk factor for the development of medical problems such as high blood pressure, high cholesterol,
heart disease, and diabetes. How much a person can safely weigh depends on his or her height. Body Mass In
CHAPTER 1:
INTRODUCTION
SABRINA ROMASOC
INSTRUCTOR 3
SCHOOL OF STATISTICS
REFERENCE: FROM PROF. GENELYN SARTE
STATISTICS IN EVERYDAY LIFE
SPORTS
Stephen Curry from the Golden State Warriors.
Stephen Curry is said to have one of the best players statisti
PROBLEM SET 1 - SJVillejo
Directions: Accomplish this problem set in a group of at most four members. Write your answers with the necessary
solutions on a yellow paper neatly and legibly. Submit on or before August 23 (Friday), 5pm.
1. A box contains the
2.) Since the player is a novice (beginner) to the game of darts, it is safe to assume that the dart can land
anywhere on the dartboard with equal probability, thus we are to say that the probability of scoring i
point(s) is equal to the area of the regio
Statistics 101
Problem Set 2
Answer the given problems below. Always define your random variable/random experiment/events. Show all intermediate
steps. No mathemagics.
1.) Verify the following identities
a.)
b.)
c.)
d.)
2.) The game of darts is played by
Statistics 101
Second Exam (SAMPLE EXAM)
KCSANTOS
I. IDENTIFICATION: Identify the following concepts/terms completely. Strictly NO abbreviations!
1. It is a type of abstract model that describes a phenomenon by assigning a likelihood of occurrence to the
Feliciano, Eilynn B.
Retuya, Erica P.
BM 180
LABORATORY 2
I.
Independent Sample T-Test
1. males and females
Raw Score in the Mathematics
Subtest
Raw Score in the Science
Subtest
Raw Score in the Language
Proficiency Subtest
Raw Score in the Reading
Compre
LABORATORY 2
1. Independent Sample T-Test
a. males and females
Sex
N
male
1092
22.0494505
7.72234308
female
1892
19.7626850
6.55910949
male
1092
19.7197802
8.57394924
female
1892
17.0042283
7.06942105
Raw Score in the Reading Comprehension
male
1092
42.07
Cerficate of Compleon
Module 2: Introducon to Geospaal Data Models
This certificate bearer has successfully completed a 10-hour module of the
GST 101 INTRODUCTION TO GIS USING QGIS COURSE
June, 2015.
PhillipDavisProgramManager
Cerficate of Compleon
Module 3: Understanding Coordinate Systems
This certificate bearer has successfully completed a 10-hour module of the
GST 101 INTRODUCTION TO GIS USING QGIS COURSE
June, 2015.
PhillipDavisProgramManager
3.) How to interpret results
A.) Identifying which features are important: xgb.importance
xgb.importance(feature_names = NULL, filename_dump = NULL, model = NULL, data = NULL,
label = NULL, target = function(x) (x + label) = 2)
CAT tube pricing example:
f
May 2012
2
May 2012
Datalicious Pty Ltd
3
May 2012
4
May 2012
5
May 2012
6
May 2012
7
May 2012
8
May 2012
Datalicious Pty Ltd
9
May 2012
Datalicious Pty Ltd
10
Method: LASSO
May 2012
Datalicious Pty Ltd
11
Risk Analysis
A. Understand the nature and level of each risk in terms of likelihood and impact
B. Information required to estimate likelihood of a scenario
a. Historical data on past events
b. Historical data on frequency of contributing events (weather
GST 101: Introduction to Geospatial Technology
Lab 3 - Understanding Coordinate Systems and Map Projections
Objective Explore and Understand Coordinate Systems and Map Projections
Document Version: 3/3/2015
FOSS4G Lab Author: Kurt Menke, GISP Bird's Eye V
Lidar 101:
An Introduction to Lidar Technology,
Data, and Applications
National Oceanic and Atmospheric Administration (NOAA)
Coastal Services Center
Coastal Geospatial Services Division
Coastal Remote Sensing Program
November 2012
For More Information:
Table Results
1. There is no relationship between the plans of the students (work, study, and study and
work) and their current school.
Case Processing Summary
Cases
Valid
N
Missing
Percent
N
Total
Percent
N
Percent
what are you considering
after graduati
Comparing
Means
Anova
F-test can be used to determine whether the
expected responses at the t levels of an
experimental factor differ from each other
When the null hypothesis is rejected, it may be
desirable to find which mean(s) is (are) different,
and