Sampling There are two main branches of statistics: Descriptive statistics is used to say something about a set of information that has been collected only.
As with psychology itself, statistical analysis within psychology began as a philosophy Goodwin, This philosophy quickly turned to a scientific pursuit, again mirroring psychology itself. A person observes, and wonders why that event occurred. That person makes a guess, known as forming a hypothesis, then he or she observes the situation again making small changes to test the theory.
Once the determination that the behavior or occurrence is prevalent in a population for which the statistical study is relevant it is given a level of probability A.
Statistics has two branches descriptive and inferential, and both branches use fundamental concepts as measurements of predictability. The predictability or probability of an event or behavior is determined through values, variables, and scores.
However, the mass of information concerning a sample of a parameter used in inferential statistics, and a parameter used in descriptive statistics has become the easiest known way to interpret data University of California, Expressed differently, raw data are difficult to visualize and translate into descriptive or inferential statistics Leard Statistics, Properly interpreting data and graphing it in an easily understandable truthful manner is the major function in descriptive and inferential statistics.
Descriptive Statistics Descriptive statistics summarize numbers in a set of data, such as mean or median, and values, or scores A. As the name implies, statistics give psychologists the ability to understand easily the collection of Descriptive and inferential statistics essay they are researching.
This is made possible because histograms, frequency tables, charts, and pictures enhance the data provided. To display numbers in a visually appealing manner, research becomes easier, and there is less room for error. Descriptive statistics focus on the research of a small section of the population provides information about the sample population.
Inferential statistics; however broadens the use of these samples, to make inferences about the entire population. Inferential statistics and descriptive statics go hand in hand. Without descriptive statistics, researchers would not have small samples of population to make inferences about the entire population.
Inferential statistics use methods such as random selection and probability to determine data needed for research A. These two branches of statistics could work well together if an entire state was debating on whether or not to allow gay marriage. Using this as an example, descriptive statistics would target one specific area of the state, possibly as small as half a city.
The researchers would survey the population in this area, and collect the descriptive data from around the state to infer what the entire state thought about gay marriage.
Inferential Statistics Inferential statistics are sample scores that researchers collect during a research study. The scores data collected allow the researcher to establish conclusions and make inferences about the research study.
The inferences made on the research study are obtained by using a relatively small group of participants. Additionally, when using inferential statistics the inferences about the research study exceeds the numbers collected in the study A. Therefore, the inferences communicate exactly how reliable data collected for the research study is.
The inferences in inferential statistics also convey how significant the information collected is. The information researchers gather for their study only shows a sampling of the group of participants that the researchers use.
There also must not be much variation in the data scores obtained for the study. The difference would be the difference in the variables used in the study. Researchers must use descriptive statistics to establish a research study that is statistically significant.
Therefore, it is palpable that the use of inferential statistics is another measure of analyzing and interpreting numerical data collected in a research study.
The only way to gain information and knowledge about scientific outcomes is to study and observe them. When we achieve results from a research study, we are using statistics.
Researchers use two types of statistics descriptive statistics and inferential statistics. Both types of statistics help researchers to comprehend data that they have collected. Statistics are important and are in use every day without people even knowing that they are using it.
Research is extremely important to understanding the world we live in, and after compiling the research data collected, we can put our data into a statistic form for everyone to understand."Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data" (Understanding descriptive and inferential statistics, , Laerd).
Introduction & Descriptive Statistics Essay. TOPIC 1 INTRODUCTION & DESCRIPTIVE STATISTICS BASIC CONCEPTS Situation: A journalist is preparing a program segment on what appears to be the relatively disadvantaged financial position of women and the incidence of female poverty in Australia.
Descriptive statistics is used to say something about a set of information that has been collected only. Inferential statistics is used to make predictions or comparisons about a larger group (a population) using information gathered about a small part of that population.
Free Essay: When faced with an analysis of a situation which deals with a population, an analyzer will incorporate both descriptive and inferential. DESCRIPTIVE AND INFERENTIAL STATISTICS 5 Conclusion Statistics are an important part of almost every field of research study, which includes medicine, psychology, physics, and many others.
The only way to gain information and knowledge about scientific outcomes is to study and observe them. Nov 23, · View and download inferential statistics essays examples.
Also discover topics, titles, outlines, thesis statements, and conclusions for your inferential statistics essay. Home; Descriptive statistics and inferential statistics are used for different types of designs. For example, correlational studies will utilize descriptive statistics to.