MATH 215 Week 1 Math Assignment Help 2 | Franklin University
- Franklin University / MATH 215
- 29 Jan 2019
- Price: $10
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MATH 215 Week 1 Math Assignment Help 2 | Franklin University
Week 1 Application Assignment
Part 1: Scavenger Hunt: Statistical Report (6 points)
The Gallup
Organization (www.gallup.com)
or Pew Research Center (www.pewresearch.org) provides data on all
aspects of lifestyles of people around the world. There are many other organizations who try to
determine what the public is thinking about a certain topic by conducting
scientific polls. Find a report at an opinion poll source (Gallup, Pew, or any other)
that lists as much information as possible. The report should site the title
and source of the study. You need to include the web link of the report to this
assignment.
1.
What
is the title and source of the report you found?
2.
Look
for the answers of the questions below that are addressed in your report.
a.
What
was the population of interest?
b.
How
was the sample selected? What was the sampling method used?
c.
What
was the sample size?
- How were the subjects
contacted? By phone, by mail, by web poll, etc…
- When was the survey conducted?
- Give a statistics from the report.
- Describe the parameter of interest in your report. This may or may
not be given numerically in the report, but you should be able to describe
it. (Remember parameter describes the population)
4.
Describe the
variable(s) studied in the survey.
Part 2:
Graphical Summaries of Data (8 points)
Download the Excel file with the Light Bulb data from
your course page in Week1 Application Assignment. That file contains the life
(in hours) of a sample of 40 100-watt light bulbs produced by a
manufacturer.
Answer the following questions using
Excel Analysis Tool Pack. Any graphs in Excel should be cut and paste on this Word document. You
will turn in a single Word document, not an Excel file.
1.
Construct
a frequency distribution and a relative frequency distribution for the light
bulb data with a class width of 20, starting at 800. Copy and paste your
distribution tables here.
2.
Construct
a histogram based on this frequency distribution table for the light bulb data.
Copy and paste your histogram here. Describe the shape of the histogram. (Is it
unimodal, bimodal, skewed, etc.?)
3.
Now,
construct a frequency distribution table and a relative frequency distribution
table for the light bulb data with a class width of 100, starting at 800. Copy
and paste your distribution tables here.
4.
Construct
a histogram based on this frequency distribution table for the data. Copy and
paste your histogram here. Describe the shape of the histogram. (Is it
unimodal, bimodal, skewed, etc.?)
5.
Compare
the histograms in questions 2 and 4. Describe how changing the class sizes
affected the shape of the distribution. What unique information does each
histogram tell you about the light bulb distribution?