# Descriptive statistics research and evaluation essay

With descriptive statistics you are simply describing what is or what the data shows. The same frequency distribution can be depicted in a graph as shown in Figure 1.

Table 1. A true random sample means that everyone in the target population has an equal chance of being selected for the sample. In Psychology there has to be a variable or variables to be organized, measured, and expressed as quantities.

### Descriptive statistics research and evaluation essay

This would sure be easier for someone to interpret than a big spreadsheet. There are hundreds of ways to visualize data, including data tables, pie charts, line charts, etc. Other variability measures Standard deviation, variance, and quartile can be used in addition to range to measure variability of data. In such cases, the variables involved are quite a few such that we are in a position to comfortably list all them and make a quick summary of the numbers involved in each value. Or, we describe gender by listing the number or percent of males and females. With inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone. If you have any comments or contributions, please leave them in the comments below. For example, one might be interested to find the average passes a footballer makes in a single match. For instance, consider a simple number used to summarize how well a batter is performing in baseball, the batting average.

The specifications were reviewed by an epidemiologist or biostatistician prior to sending them to the programmer. If the two middle scores had different values, you would have to interpolate to determine the median. For example, in data with a range of 5, a standard deviation of 4 would be large; however, in data with a range of 10, a standard deviation of 4 would be small.

If there are two numbers at the middle of the data set which occurs when there is an even number of data pointsthese two numbers are averaged to identify the median.

### How to explain descriptive statistics

Such processes included a review of the analysis plan, checking raw data files, and a multistep review of results, the details of which were provided by Westat and are described in the following paragraphs Westat, Before implementing the program, the clinic collects 3 months of aggregate data 3, 6, and 9 months before the intervention for all patients with diabetes in the clinic, including HbA1c levels, BMIs, and patients with uncontrolled HbA1c. Again, the point is that this is an inferential statistic method to reach conclusions about a population, based on a sample set of data. Coupled with a number of graphics analysis, descriptive statistics form a major component of almost all quantitative data analysis. The standard deviations were 0. Before the final written results of an analysis were delivered to National Academies staff and the committee, they were reviewed internally by Westat, typically a senior staff member, to check for accuracy, completeness, and quality and to ensure that the findings were fully supported by the data. Standard deviation is the average distance of each data point from the mean of the data set. Changes were communicated to the programmer in revised specifications as needed. Full documentation was maintained on all programs used in the process of building the analysis files. See Snapshot of aggregate data. This information would also have provided valuable insights into influences of initial and full participation.

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