An analysis of the main purpose of descriptive statistics

In some distributions there is more than one modal value. Descriptive statistics describe the main features of a collection of data quantitatively. One way to compute the median is to list all scores in numerical order, and then locate the score in the center of the sample.

The mean, on the other hand, can change drastically in the presence of an outlier. A descriptive statistic is a measure such as mean, standard deviation etc. Measures of central tendency: A descriptive statistic is a numerical summary of a dataset e. The central tendency of a distribution is an estimate of the "center" of a distribution of values.

The four main regions of California are beaches, deserts,foothills, and mountains. No, it is not. The Standard Deviation is a more accurate and detailed estimate of dispersion because an outlier can greatly exaggerate the range as was true in this example where the single outlier value of 36 stands apart from the rest of the values.

In the business world, descriptive statistics provides a useful summary of many types of data. Measures of spread help us to summarize how spread out these scores are.

With descriptive statistics you are simply describing what is or what the data shows. Table 1 shows an age frequency distribution with five categories of age ranges defined.

In this case, we group the raw scores into categories according to ranges of values.

The same frequency distribution can be depicted in a graph as shown in Figure 1. Rather, the value are grouped into ranges and the frequencies determined. Little clues mentioned lead me to believe she is a brunette with brown eyes.

In indicates the data in units.

Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. Mean Median Mode The Mean or average is probably the most commonly used method of describing central tendency.

This type of graph is often referred to as a histogram or bar chart. Dispersion indicates the spread of the values regarding the central tendency. One of the most common ways to describe a single variable is with a frequency distribution. For example, it may try to infer the success rate of a drug in treating high temperature, by taking a sample of patients, giving them the drug, and estimating the rate of effectiveness in the population using the rate of effectiveness in the sample.

Or we may measure a large number of people on any measure. What is the main purpose of a job description? For example, the mean score of our students may be 65 out of These summaries may either form the basis of the initial description of the data as part of a more extensive statistical analysis, or they may be sufficient in and of themselves for a particular investigation.

Such summaries may be either quantitativei. Give examples of descriptive and inferential statistics? The interquartile range is a resistant measure of spread.

A p value is something that is obtained by computing a test statistic using a formula which may involve mean, variance etc. Both descriptive and inferential statistics look at a sample from some population. We would also be interested in the distribution or spread of the marks. There are four types of descriptive statistics that are commonly used:.

The Standard Deviation shows the relation that set of scores has to the mean of the sample. Measures of central tendency: The data is measured under units of frequency such as the distributionthe central tendencyand the dispersion The distribution chart is analyzed through the bar chart, The central tendency is an analysis into mean, median and mode form Mean is the average of most probably used frequency, the median is the central point of the set values, Mode is the most frequently occurring value in the set of scores.

With inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone. The Median is the score found at the exact middle of the set of values.A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features of a collection of information, while descriptive statistics in the mass noun sense is the process of using and analyzing those statistics.

The main purpose of descriptive statistics is to: Correct Summarize data in a useful and informative manner. A population is a collection of all individuals, objects, or measurements of interest. In mathematics, the purpose of descriptive statistics is to describe the properties of data samples and measurements in a simpler way.

It forms part of quantitative data analysis in statistics. In descriptive statistics, no conclusions can be drawn nor a hypothesis be proven regarding a set of. Inferential statistics is a branch of statistics that can be used when researchers and mathematicians want to attempt to extrapolate on and reach conclusions that extend beyond the raw data itself.

While a study only uses a small sample of the total population it is studying, inferential statistics. Descriptive statistics is the discipline of quantitatively describing the main features of a collection of information, or the quantitative description itself.

Descriptive Statistics analyzes the quantitative data in detail in measuring the outcome. It eliminate all that is secondary and highlights the main statistics. It is a single indicator put in summary of the .

An analysis of the main purpose of descriptive statistics
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