The purpose of this paper is to put some light on the difference in the type of statistical analysis. Basic science of the major branches two, known as the statistics are inferential statistics from the description. These branches are associated tightly but, obviously, we are able to establish a differentiation between them still.
The descriptive statistics, there is a compatibility act that define the characteristics of statistical measurement in nature. Descriptive statistics is based on the mechanism and recruitment method to organize raw data is aggregated. In order to classify the data from the random samples collected, most of the statistics using measures such modifications as typical graph of measured values, charts, tables, mean values and percentiles.
In most cases, it is used descriptive statistics, the baseball season. The statistics of baseball, the game time and effort, in order to enlighten the audience together, in order to discover the regularity in order to examine the data retrieved, they spend a lot of classification. This will become apparent, there are many examples. For example, there was a game of playing more than 600 American League in 1948. Rather than to determine who had the best season batting average, it will require a lot of effort. You, in order to calculate the batting average, add the total total number of hits, the plate appearances, each time the result of the butt, it must be calculated to make the list of the batter takes official score for each game . American League Player of the batting average of the 1948 top, was Ted Williams. Computing statistical, if you become more and more complex, your goal is, know someone who had the 25 top players of the year.
If you are using their ability to include many of the statistical functions of a spreadsheet program, such as a computer statistics program and Excel, detailed information, collect your display format and keystrokes only a couple of AA and increasingly complex it means that you want to. It has given sports statistics privileges to some extent to all of this and can also, in order to search data in a systematic way substantially you deal with large amounts of data to them.
Select the trust conclusions on the population parameters based on information from the descending portion of the population is a random sample, inferential statistics are based on the measurement. Among the many applications of inferential statistics, one good example of politics of the AR forecast. In order to be able to try to predict the winner of the possibility of election, in most cases, is a sample of thousands of Americans in the sample and higher of selected, but they asked me to It seems to have been discovered that are. From the answer given to this question, the general population will be able to guess the people who vote surprinsingly high level of trust statistician, to predict. Obviously, you are prompted members of the general population to be polled, but the basic elements of inferential statistics is, what I question is, are selected. You, it is possible to imagine a situation selection and population polling, that there are two candidates, will be asked a sample population: Is you plan to vote for X in future elections? Either yes, the only option for the answer or are determined and there is no need to enter. , In order to decide to give a vote for candidate X, 51% of the sample group, should Dekiru Based on the results
If you look at inferential statistics, you will be able to predict to some extent the confidence that candidate is the winner in the election {X. Nevertheless, in some cases, the sampling procedure may have resulted in an incorrect inference. A classic example is the presidential election of 1948. You will lose to challenger Thomas Dewey Republican based on the poll obtained by the organization of Gallup, President Truman, and believe that it is the will that he is to win about 45% of the vote only. In fact, as history proves, Truman, of course, won the election, I won more than 49% of the vote. In this case, a sample of the changes, was created in order to ensure the method is cast strictly than more accurate prediction procedure were collected.
No comments:
Post a Comment