Define descriptive and inferential statistics Statistical analysis can be an intimidating task for many. Most people do not have good experiences with math in grade school or college causing them to dread the use of numbers or taking any further math courses. Although it may not be as daunting as it seems. “Descriptive statistical analysis is the simplest statistical analysis available” (Delaney, 2009, p. 1). The intention of descriptive statistics is to describe the sample group from where the data came from.

Data is examined closely so that the important features can be described. The processes used allow for order to be used in the data so sample group’s story can be told. Descriptive statistics simplify large amounts of data in a sensible way. Inferential statistics reach conclusions that go beyond the initial data. It is used to make assumptions from the data collected. For example, inferential statistics will try to conclude what the sample group might think from the data collected. It helps generalize the facts that are represented from the population.

Descriptive statistics are generally characterized from inferential statistics. The difference between the two applied branches of statistics is descriptive is describing the group and inferential is making a conclusions or judgments that go beyond the immediate data. Delaney, L. (2009). Descriptive statistics: simply telling a story. British Journal of Cardiac Nursing, 4(6), 283-289. Retrieved from EBSCOhost. Trochim, W. (2006). Descriptive Statistics. Research Methods Knowledge Base. http://www. socialresearchmethods. net/kb/statdesc. php

Social psychologists use descriptive and inferential statistics to analyze data collected during a research experiment. Descriptive statistics are used to explain the meaning of numbers discovered during a research project. They help social psychologists make sense of data collected during research. Both systems rely on the same numbers accumulated during an experiment. Inferential and descriptive statistics take raw data and make it meaningful. Inferential statistics are used by psychologists to draw a conclusion to the research project.

Inferential statistics use Z scores to interpret the numbers assembled during an experiment. Z scores help social psychologists better understand the data collected and decide what the conclusion of the experiment is. Descriptive and inferential statistics help psychologists have a better understanding of human behavior by using numbers. Descriptive and inferential statistics An example of how descriptive and inferential statistics work together would be if someone wanted to look into population growth. The descriptive part of it would be what is being studied, population in this case.

If a person only wanted to know the population growth of a city or even a state, this type of statistic would be sufficient for them but if they wanted more detail as, a person may look into inferential statistics. The inferential statistics would be going more into depth about the population as a whole. In 2010, St. Louis Missouri’s population had declined by 8. 3% since the year 2000. (Tang, 2011) If the population is broken down into groups, such as race, sex, and age, this would refer to the inferential statistics which would be giving more information about what people would like to know within the studies of statistics.

Tang, Didi. February 28, 2011. St. Louis’ population ebbs; Missouri diversity grows. USA Today. http://www. usatoday. com/news/nation/census/2011-02-24-missouri-census_N. htm Conclusion Statistics are a scientific way to measure data, and analyze the meanings of the data. Here we are able to use science and mathematics to understand and make prediction about data collected. First descriptive statistic gathers information about a group being studied to draw a conclusion on a larger population.

Next the information can be utilized to draw conclusion about the information learned to determine if the data will change. This is important to many people to determine how populations are changing among a city or area. These results can show patterns when looked at on graphs. Using data from statistic allow scientist to predict what the future population would be if the patter remains the same. They can also determine what changed can and could have effected growth by looking at inferential statistic.