What is Statistics?
Statistics Is….
• Science and art of learning
through data
• Data are numbers with a context
Probability
• Study of chance behavior
through data
Sample vs. Population
• Population is the large group made up of
many individuals
• Sample is a smaller group of individua...
Where do you get good data?
• Internet websites that have collected it for
you (available data)
• www.statca.ca
• www.ineg...
Some methods to collect data
• Surveys
• Observational studies
• Experiments
• Each of these will be studied in greater
de...
Data Analysis
• Characteristics of an individual are known
as variables
• Objects described by a set of data are
known as ...
The 6 W’s & the H
• Who are the individuals that you have data
from
• What are the variables
• Why? (What is your underlyi...
Types of Variables
• Categorical (Qualitative) Variables
• Describe a quality that the variables have, you
can easily spli...
Distribution of a Quantitative
Variable
• The pattern of variation of the numerical
values of a quantitative variable is k...
Data Anaylsis
• Examine a variable by itself first
• Study relationships among variables
• Utilize graphs and number summa...
Types of Graphs
(to be studied in Unit 1)
Qualitative:
Bar Graph
Side-by-side Bar Graph
Pie Chart
Quantitative:
Dotplot
St...
Probability
• Probability is usually unpredictable in the
short run but is regular and very
predictable in the long run
• ...
Statistical Inference (Units 4&5)
• How to draw conclusions from data
• Utilized in medical studies, political polling
• A...
Upcoming SlideShare
Loading in …5
×

Intro to statistics

1,130
-1

Published on

Published in: Technology, Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
1,130
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
11
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Intro to statistics

  1. 1. What is Statistics?
  2. 2. Statistics Is…. • Science and art of learning through data • Data are numbers with a context
  3. 3. Probability • Study of chance behavior through data
  4. 4. Sample vs. Population • Population is the large group made up of many individuals • Sample is a smaller group of individuals chosen from the population
  5. 5. Where do you get good data? • Internet websites that have collected it for you (available data) • www.statca.ca • www.inegi.gob.mx • www.fedstats.gov • www.cdc.gov/nchs • You can collect your own data using the prescribed methods explained in this course
  6. 6. Some methods to collect data • Surveys • Observational studies • Experiments • Each of these will be studied in greater detail later in the course in Unit 2
  7. 7. Data Analysis • Characteristics of an individual are known as variables • Objects described by a set of data are known as individuals
  8. 8. The 6 W’s & the H • Who are the individuals that you have data from • What are the variables • Why? (What is your underlying question) • When? • Where did you get the data from? • How did you gather the data? • By Whom was the data gathered?
  9. 9. Types of Variables • Categorical (Qualitative) Variables • Describe a quality that the variables have, you can easily split the data into categories • Quantitative Variables • Gives a numerical value for a variable (You can take the average of them)
  10. 10. Distribution of a Quantitative Variable • The pattern of variation of the numerical values of a quantitative variable is known as its distribution • We can describe a distribution by its center, shape and spread • We will discuss distributions in much greater detail later in the course mostly in Units 2, 4, and 5
  11. 11. Data Anaylsis • Examine a variable by itself first • Study relationships among variables • Utilize graphs and number summaries to help organize data to make sense
  12. 12. Types of Graphs (to be studied in Unit 1) Qualitative: Bar Graph Side-by-side Bar Graph Pie Chart Quantitative: Dotplot Stemplot Boxplot Histogram Ogive Scatterplot
  13. 13. Probability • Probability is usually unpredictable in the short run but is regular and very predictable in the long run • We will study probability and long run behavior in Unit 3 of the course
  14. 14. Statistical Inference (Units 4&5) • How to draw conclusions from data • Utilized in medical studies, political polling • Allows you to make predictions and conclusions • We must understand that we cannot be certain about our conclusions in statistics so there is always room for error

×