1. ## MATH 215 Week 1 Math Assignment Help 2 | Franklin University

0 sold
29 Jan 2019

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?

1.  How were the subjects contacted? By phone, by mail, by web poll, etc…

1. When was the survey conducted?

1. Give a statistics from the report.

1. 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?