Discussion Identifying And Interpreting Descriptive Statistics

Discussion Identifying And Interpreting Descriptive Statistics

Examine the survey results downloadable from the link below. Choose one of the items, determine the descriptive statistic that is reported, and indicate what it means. For example, “What is the highest level of education of this group?” (Please do not repeat the same topic as your classmates.)

Hypothetical Results from Survey

I need one full page with two references to support the evidence.

Use the scholarly articles that are less than 5 years published to support the evidence and another one  from the book we are using in the class.

Descriptive statistics are useful for describing the basic features of data, for example, the summary statistics for the scale variables and measures of the data. In a research study with large data, these statistics may help us to manage the data and present it in a summary table. For instance, in a cricket match, they can help us to manage records of the player and  also help us to compare one player’s records with another player’s records Discussion Identifying And Interpreting Descriptive Statistics.


Types of Descriptive Statistics

1. Measure of central tendency: The measure of central tendency measures the average value of the sample. In descriptive statistics, there are two types of averages: the first are the mathematical averages and the second are the positional averages.

The mathematical averages are of three types: arithmetic mean, geometric mean, and harmonic mean. The arithmetic mean is the most widely used measure for central tendency; it can be obtained by adding all the items of the series and dividing this total by the number of items. In descriptive statistics, the geometric mean is defined as the nth root of the products of all the n values of the variable. In descriptive statistics, the geometric mean is used when the items in the series are very large. The harmonic mean is defined as the reciprocal of the item. The harmonic mean is useful in finding the averages that involve speed, time, price and ratio Discussion Identifying And Interpreting Descriptive Statistics.

There are two types of positional average: the median and the mode. The median is the average value of the series in which half the values are less than the median and half the values are greater than the median. The mode, the second positional average, shows a higher frequency in the series.

2. Measure of dispersion: In descriptive statistics, we can elaborate upon the data further by measuring the dispersion. Usually the range of the standard deviation and variance is used to measure the dispersion. In descriptive statistics, range is defined as the difference between the highest and the lowest value. The standard deviation and variance are usually used to measure the dispersion. Standard deviation is also called the root mean square deviation. Variance is also used to measure the dispersion, which can be simply derived from the square of the standard deviation.

Descriptive Statistics and Interpreting Statistics Resources

Bartz, A. E. (1971). Basic descriptive statistics for education and the behavioral sciences (4th ed.). Oxford, UK: Burgess.

Bernstein, S., & Bernstein, R. (1999). Schaum’s outline of elements of statistics I: Descriptive statistics and probability. New York: McGraw-Hill.

Gotkin, L. G., & Goldstein, L. S. (1965). Descriptive statistics: A programmed textbook. New York: John Wiley & Sons.

Levitas, R., & Guy, W. (1996). Interpreting official statistics. New York: Routledge.

Li, J. C. R. (1957). In J. C. R. Li (Ed.), Introduction to statistical inference (pp. 3-13). Ann Arbor, MI: The Science Press.

McHugh, M. L., & Hudson-Barr, D. (2003). Descriptive statistics, part II: Most commonly used descriptive statistics. Journal for Specialists in Pediatric Nursing, 8(3), 111-116. Discussion Identifying And Interpreting Descriptive Statistics

McPherson, G. (2001). Applying and interpreting statistics: A comprehensive guide (2nd ed.). New York: Springer-Verlag.

Morgan, G. A., Gliner, J. A., & Harmon, R. J. (1999). Measurement and descriptive statistics. Journal of the American Academy of Child & Adolescent Psychiatry, 38(10), 1313-1315.

Statistics Solutions can assist with your quantitative analysis by assisting you to develop your methodology and results chapters. The services that we offer include:

Data Analysis Plan

Edit your research questions and null/alternative hypotheses

Write your data analysis plan; specify specific statistics to address the research questions, the assumptions of the statistics, and justify why they are the appropriate statistics; provide references

Justify your sample size/power analysis, provide references

Explain your data analysis plan to you so you are comfortable and confident Discussion Identifying And Interpreting Descriptive Statistics

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