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Statistical Statistics : Descriptive Statistics

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Assignment One Question One Statistics used to describe, or descriptive statistics, are single numbers that describe a sample of data (Kiess & Green, 2010, p. 7). Descriptive statistics merely describe what the data consists of (Trochim, 2006). Several frequently used descriptive statistics are the mean, median, and mode (Kiess & Green, 2010, p. 7). Descriptive statistics are used when it is necessary to relay large amounts of quantitative data in a simple, understandable way (Trochim, 2006). However, in some cases the use of descriptive statistics may simplify the data too much, leaving out important information (Trochim, 2006). Inferential statistics are statistics used to infer the value of the population from the values of a sample …show more content…

12). Independent variable and subject variables are similar in the fact that both types of variables can impact the results of a test. Both independent and subject variables can be used to assess relationships between two items (Kiess & Green, 2010, p. 10-12). The difference arises in the control the experimenter has: near complete when dealing with independent variables, and very limited when working with subject variables (Kiess & Green, 2010, p. 10-12). For instance, a researcher can alter the amount of light in a room for a vision test, but cannot control if the subject has limited eyesight ability due to a congenital disorder. Another difference between independent variables and subject variables is seen in their uses and limitations. Subject variables are used in quasi-experiments in place of independent variables when a researcher is interested in studying the effects of a condition or something of that nature, which is impossible to do when using random samples required for a normal experiment (Kiess & Green, 2010, p. 21). Subject variables allow for a wider range of study, but provide less concrete results (Kiess & Green, 2010, p. 22). It is significantly harder to assess if there is a causal relationship when using subject variables, as there are many other variables that could influence the results (Kiess & Green, 2010, p. 22).

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