Which data Cannot be studied under statistics

However, the statistics are determined on the basis of studying individuals in the group, not studying the group.Representative sampling assures that inferences and conclusions can reasonably extend from the sample to the population as a whole.It basically represents information that can be categorized into a classification.A statistical population need not consist only of people.The data fall into categories, but the numbers placed on the categories have meaning.

Ordinal data are often treated as categorical, where the groups are ordered when graphs and charts are made.Statisticians also refer to binary data as both dichotomous and indicator variables.What they like today they may hate the next.Descriptive statistics you can use these descriptive statistics with ordinal data:An example of using inferential statistics is in an election.

Now recall the problems with individuals.The data cannot be arranged in an ordering scheme (such as low to high).Quantitative data are easily amenable to statistical manipulation and can be represented by a wide variety of statistical types of graphs and charts such as line, bar graph, scatter plot, and etc.These include health, riches, intelligence etc.Ordinal data can be analyzed with both descriptive and inferential statistics.

Data are a set of facts, and provide a partial picture of reality.To gather information about plant responses over time, you can fill out the same data sheet every few days until the end of the experiment.Definition _____ is the science of planning studies and experiments, obtaining data, and then organizing, summarizing, representing, analyzing, interpreting, and drawing conclusions based on the data.It would be impossible to get data from an entire population, so data scientists can use inferential statistics to extrapolate their results.Nominal data cannot be used to perform many statistical computations, such as mean and standard deviation, because such statistics do not have any meaning when used with nominal variables.

Data is discrete if it is the result of counting (such as the number of students of a given ethnic group in a class or the number of books on a shelf).