This document provides information and instructions for organizing and describing data using line plots, measures of central tendency (mean, median, mode), and range. It also discusses how to make different types of graphs and charts, including bar graphs, circle graphs, pictographs, and line graphs. Specific instructions are given for constructing line plots and calculating the mean, median, mode, and range. The purpose is to help students understand how to organize numerical data in a clear way using various visual representations.
This presentation is about Basic Statistics-related to types of Data-Qualitative and Quantitative, and its Examples in everyday life- By: Dr. Farhana Shaheen
Data presentation and interpretation I Quantitative ResearchJimnaira Abanto
Topics;
DATA PRESENTATION & INTERPRETATION
Preparation in writing your data analysis
Techniques in Data Processing
Presentation and Interpretation of Data
Using statistical Techniques (Sample)
This presentation is about Basic Statistics-related to types of Data-Qualitative and Quantitative, and its Examples in everyday life- By: Dr. Farhana Shaheen
Data presentation and interpretation I Quantitative ResearchJimnaira Abanto
Topics;
DATA PRESENTATION & INTERPRETATION
Preparation in writing your data analysis
Techniques in Data Processing
Presentation and Interpretation of Data
Using statistical Techniques (Sample)
Fundamentals Of Statistics-Definition of statistics,Descriptive and Inferential Statistics,Major Types of Descriptive Statistics,Statistical data analysis
This presentation includes an introduction to statistics, introduction to sampling methods, collection of data, classification and tabulation, frequency distribution, graphs and measures of central tendency.
Statistical methods and analyses are used to communicate research findings and give credibility to research methodology and conclusions. It is important for researchers and also consumers of research to understand statistics so that they can be informed, evaluate the credibility and usefulness of information, and make appropriate decisions.
Introduction to Statistics -
Sampling Techniques, Types of Statistics, Descriptive Statistics,
Inferential Statistics,
Variables and Types of Data: Qualitative, Quantitative, Discrete,
Continuous, Organizing and Graphing Data: Qualitative Data, Quantitative Data
Fundamentals Of Statistics-Definition of statistics,Descriptive and Inferential Statistics,Major Types of Descriptive Statistics,Statistical data analysis
This presentation includes an introduction to statistics, introduction to sampling methods, collection of data, classification and tabulation, frequency distribution, graphs and measures of central tendency.
Statistical methods and analyses are used to communicate research findings and give credibility to research methodology and conclusions. It is important for researchers and also consumers of research to understand statistics so that they can be informed, evaluate the credibility and usefulness of information, and make appropriate decisions.
Introduction to Statistics -
Sampling Techniques, Types of Statistics, Descriptive Statistics,
Inferential Statistics,
Variables and Types of Data: Qualitative, Quantitative, Discrete,
Continuous, Organizing and Graphing Data: Qualitative Data, Quantitative Data
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This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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2. Organizing Data by:
Using Line Plots
Describing Data (mean, median,mode,
and range)
Making Charts or Graphs(bar
graphs,circle graphs,pictographs,line
graphs)
3. Line Plots
Line plots are diagrams that organize
data on a number line
If your data is numerical, one way to
show it would be with a line plot
4. Here’s a way to make a line
plot.
Find the least and the greatest numbers
in your set of data for your line plot.
Choose a sequence that will fit your
data.( arrange the numbers by 2’s, 5’s
etc.what ever works best for your data)
Put an x on the line plot to represent
your data
Write a title for your line plot.
6. Mean/Average
To find the mean or
average of a set of
data you first :
Add the numbers
Count the number of
data
Divide the total of
the numbers by the
number of data.
6,4,6,5,7,7,4,9=48
There are 8 sets of
data
Divide 48 by 8 = 6
To check, 8 x 6= 48
7. Median
The median number of
a set of data is the
number found in the
middle.
Arrange your data in
order from least to
greatest to find the
middle number.
Sometimes you will
have two middle
numbers.
4
4
5
6
6
7
7
9
8. Mode
The mode of a set of data is the number
that occurs most often in the data.
You may have more than one mode.
4,6, and 7 are your modes in this set of
data.
9. Range
The range of a set of data is found by
subtracting the least number from the
greatest number.
9 – 4 = 5
In this set of data the range is from 4 to
9 with the exact range of 5.
10. Making Charts and Graphs
0
10
20
30
40
50
60
70
80
90
1st
Qtr
3rd
Qtr
East
West
North
Bar graphs are
another way to show
data.
Double bar graphs
help you to compare
data.
11. Line graphs
Line graphs are
good for showing
changes in data
over time when
working with dates.
Double line graphs
can help you show
even more data and
compare data.
12. Circle graphs/Pie Charts
Circle or pie charts
are another way to
show data, and
compare data to
percentages or
fractions of a whole.
13. Pictographs
Pictographs are
often used to show
data in newspapers
and magazines
because they get
your attention.
Each picture
represents a specific
number of data.
14. In conclusion
Organizing data makes it easier to read
and understand.
Using graphs and charts helps to get
the attention of your audience
Charts, line plots and graphs are ways
to organize data so it is useful to you.
Comparing data is easier when it is
clear and specific.
