EMPLOYMENT AND EARNINGS James and Clayton. Topic of Interest Describes the economic status of all businesses in Canada (trends) Helps with determining.

Slides:



Advertisements
Similar presentations
Chapter 3 Properties of Random Variables
Advertisements

Richard M. Jacobs, OSA, Ph.D.
Review for 2nd Nine Weeks Test
Occupational Factors Affecting the Income of Canada ’ s Residents in the 1970 ’ s Group 5 Ben Wright Bin Ren Hong Wang Jake Stamper James Rogers Yuejing.
Irwin/McGraw-Hill © Andrew F. Siegel, 1997 and l Chapter 12 l Multiple Regression: Predicting One Factor from Several Others.
Normal Distribution * Numerous continuous variables have distribution closely resemble the normal distribution. * The normal distribution can be used to.
MDM4U Culminating Project Unemployment and Divorce in Ontario By: Rachel Wang Glebe Collegiate Institute For Mr. Garvin Boyle.
Measure of Center A measure of center is a value at the center or middle of the data set Surprising, huh?
1 Basic statistics Week 10 Lecture 1. Thursday, May 20, 2004 ISYS3015 Analytic methods for IS professionals School of IT, University of Sydney 2 Meanings.
CHAPTER 3: Statistical Description of Data
Survey Research & Understanding Statistics
Chapter 19 Data Analysis Overview
By Jayelle Hegewald, Michele Houtappels and Melinda Gray 2013.
The Vocabulary of Research. What is Credibility? A researcher’s ability to demonstrate that the study is accurate based on the way the study was conducted.
Applying Science Towards Understanding Behavior in Organizations Chapters 2 & 3.
6.1 What is Statistics? Definition: Statistics – science of collecting, analyzing, and interpreting data in such a way that the conclusions can be objectively.
Chapter 1: Research Methods
Statistics Recording the results from our studies.
Agronomic Spatial Variability and Resolution What is it? How do we describe it? What does it imply for precision management?
Describing Behavior Chapter 4. Data Analysis Two basic types  Descriptive Summarizes and describes the nature and properties of the data  Inferential.
Descriptive Statistics Used to describe or summarize sets of data to make them more understandable Used to describe or summarize sets of data to make them.
Group participation McKie Delahunty- created slides 1,4,5,6,7,8,11,12 & compiled all for powerpoint Jenica Hansen- created slides 2,3 Semhar Moges- created.
Analysis of Distribution If the sample is truly random and there is no bias in the sampling then the expected distribution would be a smooth bell-shaped.
Research Process Parts of the research study Parts of the research study Aim: purpose of the study Aim: purpose of the study Target population: group whose.
FACTORS THAT AFFECT UNEMPLOYMENT RATE IN CANADA By: Nicole Abbiento & Heinrich LaMontange.
PSYCHOLOGICAL INQUIRY. TYPES OF PSYCHOLOGISTS Research psychologists- conduct research to apply to everyday life Clinical psychologists- study, assess,
Does time spent on Facebook affect your grades? Study results presented by: Mary Vietti : Power Point Creator Justin Price : Editor & Conclusion Jacob.
The use of statistics in psychology. statistics Essential Occasionally misleading.
Statistics for Psychology!
 Two basic types Descriptive  Describes the nature and properties of the data  Helps to organize and summarize information Inferential  Used in testing.
Review. Statistics Types Descriptive – describe the data, create a picture of the data Mean – average of all scores Mode – score that appears the most.
Descriptive & Inferential Statistics Adopted from ;Merryellen Towey Schulz, Ph.D. College of Saint Mary EDU 496.
Problem?.  Why are we studying it?  Why do some people feel it is a problem?
Inference for a Population Mean
2 Kinds of Statistics: 1.Descriptive: listing and summarizing data in a practical and efficient way 2.Inferential: methods used to determine whether data.
Statistics Without Fear! AP Ψ. An Introduction Statistics-means of organizing/analyzing data Descriptive-organize to communicate Inferential-Determine.
Appendix B: Statistical Methods. Statistical Methods: Graphing Data Frequency distribution Histogram Frequency polygon.
Is their a correlation between GPA and number of hours worked? By: Excellent Student #1 Excellent Student #2 Excellent Student #3.
Has a single peak at the center. Unimodal. Mean, median and the mode are equal and located in the center of the curve. Symmetrical about the mean. Somewhat.
Statistics Unit 9 only requires us to do Sections 1 & 2. * If we have time, there are some topics in Sections 3 & 4, that I will also cover. They tie in.
Unit 2: Research & Statistics n Psychology deals with many experiments and studies n WHO? Every experimenter must decide on a SAMPLE, which is a group.
STATISTICS STATISTICS Numerical data. How Do We Make Sense of the Data? descriptively Researchers use statistics for two major purposes: (1) descriptively.
Developing A Thesis Chapter 2.1 – In Search of Good Data
Statistics Outline I.Types of Error A. Systematic vs. random II. Statistics A. Ways to describe a population 1. Distribution 1. Distribution 2. Mean, median,
Lesson 4.5 – Conducting a Survey to Collect Two-Variable Data.
Chapter 7 Data for Decisions. Population vs Sample A Population in a statistical study is the entire group of individuals about which we want information.
Chapter II Methods for Describing Sets of Data Exercises.
Educational Research: Data analysis and interpretation – 1 Descriptive statistics EDU 8603 Educational Research Richard M. Jacobs, OSA, Ph.D.
THE ROLE OF STATISTICS IN RESEARCH. Reading APPENDIX A: Statistics pp
Term Project Math 1040-SU13-Intro to Stats SLCC McGrade-Group 4.
LESSON 5 - STATISTICS & RESEARCH STATISTICS – USE OF MATH TO ORGANIZE, SUMMARIZE, AND INTERPRET DATA.
CIS 170 MART Teaching Effectively/cis170mart.com FOR MORE CLASSES VISIT HCS 438 EXPERT Inspiring Minds/hcs438expert.com FOR MORE CLASSES.
MM150 ~ Unit 9 Statistics ~ Part II. WHAT YOU WILL LEARN Mode, median, mean, and midrange Percentiles and quartiles Range and standard deviation z-scores.
AP Review Exploring Data. Describing a Distribution Discuss center, shape, and spread in context. Center: Mean or Median Shape: Roughly Symmetrical, Right.
Chapter 18 Data Analysis Overview Yandell – Econ 216 Chap 18-1.
Experimental Research
Review 1. Describing variables.
Statistical Analysis of Research
Quantitative Data Analysis P6 M4
PSY 2007 Enthusiastic Study/snaptutorial.com
Research Statistics Objective: Students will acquire knowledge related to research Statistics in order to identify how they are used to develop research.
Module 8 Statistical Reasoning in Everyday Life
Statistical Evaluation
Psychology Statistics
Probability and Statistics (week-9)
Does time spent on Facebook affect your grades?
Correlation & Trend Lines
Research Methods Chapter 2.
UNIT 8: Statistical Measures
Normal Distribution: Bell Curve
Presentation transcript:

EMPLOYMENT AND EARNINGS James and Clayton

Topic of Interest Describes the economic status of all businesses in Canada (trends) Helps with determining future plans (working, immigration, etc.)

Variables Independent  Payroll Employment Dependent  Average Weekly Earnings ($) Thesis: Does payroll employment affect average weekly earnings? Hypothesis: Increased payroll employment will result in increased average weekly earnings

Sample of Data thousands Employment All industries11, , , , , , , , , , , , , , Public administration , , , , Federal administration Provincial and territorial administration Local administration average weekly ($) Earnings All industries Public administration , , , , , Federal administration , , , , , , , , , , Provincial and territorial administration , , , , , , Local administration

Data In thousands average weekly ($) Employment Earnings Year All industries , , , , , , , , , , , , , ,

Sample and Population Target audience  all businesses in Canada (that consists of at least one employee) out of business in Canada

Sampling Method and Bias Systematic Sampling  About 2% of the target population’s answers in the data ( out of =1.67%) Sampling Bias  Sample does not accurately represent population  Possible cherry-picking (census samples entire population but population is too large)

Payroll Employment Not normally distributed (not bell curve) Skewed LEFT

Independent Variable- Payroll Employment MEAN: 13, MEDIAN: 13, MODE: #N/A (numbers not repeated) Standard Deviation:

Average Weekly Earnings Not normally distributed Skewed RIGHT

Dependent Variable- Average Weekly Earnings MEAN: MEDIAN: MODE: #N/A (numbers not repeated) Standard Deviation: 82.53

Two-Variable Statistical Analysis R= R= Correlation Coefficient R² = Coefficient of Determination

Conclusion As payroll employment increases, the average weekly earnings increase Why: Strong positive linear correlation shows an increase in both variables

Further Analysis Survey and data collection should be done in other countries for comparison of economic status between businesses in different locations Comparison will indicate which country provides the highest job opportunity and income earned Data collection of unemployment should be taken into consideration to indicate which country will provide a more stable and successful life for individuals