Priyanka Thakur

A  frequency distribution is a table that displays the frequency of various outcomes in a sample. Each entry in the table contains the frequency or count of the occurrences of values within a particular group or interval, and in this way, the table summarizes the distribution of values in the sample. Organizing Data. 1.Arrange data into an array 2. Decide on the number of classes( k) 3. Calculate the class interval 4. Prepare a tally sheet There are two types of Frequency:  Categorical frequency distribution. Grouped frequency distribution. Categorical Frequency Distributions The categorical frequency distribution is used for data that can be placed in specific categories or represent values of a qualitative variable. Grouped Frequency Distributions: When the data are numerical and their range is large, the data must be grouped into classes that are more than one unit in length. Histogram The histogram is an accurate graphical representati...

Research Process includes all the research for the data and below steps as well. Firstly, one should always try to understand the problem and proceed for the theory. Further, the data collection and analysis of the data process should be done to finalize the research process.

Variables can be split into categorical and continuous, and within these types there are different levels of measurement: Categorical Variable: Nominal Scale : In which data are neither measured nor ordered but subjects are merely allocated to distinct categories: Fo r example, a record of students' course choices constitutes nominal data which could be correlated with school results. Ordinal Scale: A scale on which data is shown simply in order of magnitude since there is no standard of measurement of differences: for instance, a squash ladder is an ordinal scale since one can say only that one person is better than another. Interval Scale:   A interval scale has measurements where the difference between values is meaningful. In other words, the differences between points on the scale are measurable and exactly equal. For example, the difference between a 110 degrees F and 100 degrees F is the sa...

A variable is any characteristics, number, or quantity that can be measured or counted. A variable may also be called a data item. Types: Qualitative and Quantitative Qualitative : A qualitative variable, also called a categorical variable, are variables that are not numerical . Quantitative : On the other hand, have a value and they can be added, subtracted, divided or multiplied. A discrete variable is one that cannot take on all values within the limits of the variable . For example, responses to a five-point rating scale can only take on the values 1, 2, 3, 4, and 5. The variable cannot have the value 1.7. A variable such as a person's height can take on any value. A continuous variable is a variable that has an infinite number of possible values. In other words, any value is possible for the variable . A continuous variable is the opposite of a discrete variable , which can only take on a certain number of values.

A Population comprises of all elements showing the parameters of an individual or objects. Whereas, a Sample is a sub-set of a population showing statistics.

Statistics is the science of collecting, organizing , presenting, analyzing, and interpreting data to assist in making more effective decisions. Statistics can be divided into two broad areas: Descriptive statistics and Inferential statistics Descriptive statistics are used to describe and summarize the properties of the mass of data collected from the respondents. Displays of data, such as histograms and box-plots, are also considered techniques of descriptive statistics. Inferential statistics are used to infer the properties of the population from the properties of the sample. It consists of generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables, and making predictions.