# Can you tell me where statistics is being used and why it's used in regard to this article?

Not what you're looking for?

1) Assistance is needed in writing a 1 page paper about where statistics is being applied in regards to this article and why it's being used.

2) Based on the research of this article I need to set up two sets of hypotheses (one null and one alternative) that can be tested using ANOVAs.

For question #1, I'm not asking you to write the paper just asking you for some explanations.

My article is attached.

##### Purchase this Solution

##### Solution Summary

The solution determines where statistics is being applied in regards to the article given.

##### Solution Preview

The descriptive part of the article simply summarizes the main findings of the survey on the issue of employers bearing the costs of their employees' insurance. While the numbers quoted have a statistical significance, they are not really enough to perform a statistical ANOVA test. The table at the end of the article can be used to perform such a test. When the data have been obtained according to certain specified sampling procedures, as in this case is MetLife's poll in 2003 and 2004, they are easy to ...

##### Purchase this Solution

##### Free BrainMass Quizzes

##### Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

##### Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

##### Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

##### Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.