# Uses of Statistical Information Paper

1249 Words Feb 3rd, 2011 5 Pages
Uses of statistical information paper

HCS 438

Jennifer Scott

December 6, 2010

Pam Bennett

Uses of statistical information paper

When working with uses of statistical information there is as few topics individuals and organizations need to know and these are how are statistics used in the workplace, what is one example of descriptive statistics used in the workplace and what is one example of inferential statistics used in the workplace. Plus how is data at each of the four levels of measurement used in the workplace? If the workplace does not use all four levels, describe how such data could be used. What are the advantages of accurate interpretation of statistical information to improve decisions making in the
For instance take eighth grade boys and girls and see if they differ in math test scores or, does a program group differ on the outcome measure (M.K. William, 2006).

There are four levels of measurement used in organizations and these levels are nominal measurement, ordinal level, interval level and ratio level. Levels of measurement is broke down into these four categories because it is important that the researcher to understand the different levels of measurement because they play a part in determination of data by the arithmetic and the statistical operations. Nominal measurement is the first level of measurement this numbers, words and letters to classify the data. For example there is two different genders there is F for females and M for males this is nominal level of measurement (levels of measurement, 2009). Ordinal level is the second level of measurement this level depicts some ordered relationships between the numbers of items (levels of measurement, 2009). For example let’s look at the student scores the highest marks in the class and this student is assigned the first rank. The student with the second highest score is in second rank and so on. In this type of measurement the researcher should know that the ratio between any two types of rankings is not the same along the scale (levels of measurement, 2009).

Interval

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