BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Descriptive statistics are broken down into measures of central tendency and measures of variability (spread). Measures of central tendency include the mean, median, and mode, while measures of variability include standard deviation, variance, minimum and maximum variables, kurtosis, and skewness.

Detailed explanation-2: -The mean, the mode, the median, the range, and the standard deviation are all examples of descriptive statistics. Descriptive statistics are used because in most cases, it isn’t possible to present all of your data in any form that your reader will be able to quickly interpret.

Detailed explanation-3: -Examples of metrics used in descriptive analytics include year-over-year pricing changes, month-over-month sales growth, the number of users, or the total revenue per subscriber. Descriptive analytics is used in conjunction with newer analytics, such as predictive and prescriptive analytics.

Detailed explanation-4: -Descriptive statistics include measures of central tendency (mean, median, mode), measures of variation (standard deviation, variance), and relative position (quartiles, percentiles).

Detailed explanation-5: -Descriptive Analysis is the type of analysis of data that helps describe, show or summarize data points in a constructive way such that patterns might emerge that fulfill every condition of the data. It is one of the most important steps for conducting statistical data analysis.