Ordinal Level

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Before jumping to conclusions, one of the biggest challenges researchers face is deciding which hypothesis test techniques were used by pollsters. Pollsters often only report the margin of error and without any other information, the results do not really mean anything to researchers. Researchers should determine if the poll results are credible by answering the following four questions. First, what is the level of measurement? There are four levels of measurement which include nominal, ordinal, interval, and ratio. With the nominal level of measurement, no meaningful order is implied. The list of variables can be re-ordered without affecting the relationship between these variables. An example of nominal level data would be the color of the candies in a bag of M&Ms. With the …show more content…

An example of ordinal level data would be the level of the agreement; Strongly Disagree, Disagree, Neutral, Agree, Strongly Agree. The ordinal level of measurement, can count the frequencies of items of interest and sort them in a meaningful rank order. Also, the ordinal scale can perform a variety of non-parametric hypotheses tests. However, the ordinal scale cannot perform parametric hypothesis tests using z-values or t-values. With the interval level of measurement, uses quantitative data and like the ordinal level, the interval level has an inherent order. The interval level has three characteristics the first is the values have a meaningful order. The classic example of the interval scale is a temperature measured on the Fahrenheit or Celsius scales. The temperature ninety-degrees Fahrenheit means that the weather outside is extremely hot and possibly humid. Vice versa, the temperature of ten-degrees Fahrenheit means that the weather outside is extremely cold and possibly snowy. The second characteristic of the interval level is the distances between the ranks are

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