Statistics
Statistics are used everyday in life, and are very important in the everyday world. One important use of statistics is to summarize a collection of data in a clear and understandable way. For example, if a psychologist gave a personality test measuring shyness to all 2500 students attending a small college, How might these measurements be summarized? There are two basic methods: numerical and graphical. Using the numerical approach one might compute statistics such as mean and standard deviation. These statistics convey information about the average degree of shyness and the degree to which people differ in shyness. Using the graphical approach you could create a stem and leaf display and a box plot. These plots contain detailed information about the distribution of shyness scores. Graphical methods are better than numerical methods for identifying patterns in the data. Numerical approaches are more accurate and objective. Since the numerical and graphical approaches compliment each other, you should use both. Inferential statistics are used to draw inferences about a population from a sample. An example is, if ten people who performed a task after twenty-four hours
When a parameter is being estimated, the estimate can be either a single number or it can be a range of scores. When the estimate is a single number, the estimate is called a "point estimate"; when the estimate is a range of scores, the estimate is called an interval estimate. Confidence intervals are used for interval estimates. In conclusion, statistics are a very important factor in people's way of life. Statistics help to organize very specific and detailed information, to make it easier to understand them. Without statistics life would be very complicated. Statistics are used everyday throughout the world to compute and organize numbers and data. Statistics help to summarize large sums of data and information into small and convenient graphs, charts, etc. . Statistics range from the littlest things like a little leaguer's batting average to as big as a national census of population. All in all, people may not realize it, but statistics are a huge factor in mathematics and life.
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Introduction Statistics, Chi Squares, Type II, Y-axis Probability, Arithmetic Mean, Scales Measurement, Pearson's Pearson's, Product Moment, Pearson's Correlation, Power Power, null hypothesis, inferential statistics, test based, relationship variables, pearson's correlation, arithmetic mean, population mean, represents data subject, estimate single, statistics help, favorable outcomes, test based chi, range scores estimate, chi square distribution, product moment correlation,
Approximate Word count = 1942
Approximate Pages = 8 (250 words per page double spaced)
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