it is the sum of all numbers given divided by the total numbers.
example- 2,3,6,3,8,5,5,8
total sum of all the numbers- 2+3+6+3+8+5+5+8=40
total numbers- 8
mean= 40/8
= 5
Discrete means tangible units (In statistics it is individual units in a data). Continuous is a linear/series in ascending/descending form/order of individual units. (In statistics it is the continuous series of unit data)
Occupation Employment Statistics.
In statistics and data analysis, the keyword "mean" typically refers to the average value of a set of numbers.
In statistics, the symbol ( S ) typically represents the sample standard deviation, which measures the amount of variation or dispersion in a set of sample data. It quantifies how much individual data points deviate from the sample mean. The formula for calculating ( S ) involves taking the square root of the variance, which itself is the average of the squared differences between each data point and the sample mean. This metric is crucial for understanding the spread of data in inferential statistics.
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
The mean and standard deviation. If the data really are normally distributed, all other statistics are redundant.
Statistics is the study of collecting , organizing , and interpreting data!
The purpose of calculating variance in statistics is to measure the degree of variation or dispersion in a set of data points. It quantifies how much individual data points differ from the mean, providing insights into the spread of the data. A higher variance indicates greater variability, while a lower variance suggests that the data points are closer to the mean. This information is crucial for assessing risk, making predictions, and understanding the reliability of statistical conclusions.
Ungrouped data in statistics refers to raw, individual data points that have not been sorted or organized into any specific groups or categories. This type of data is often presented in a list format and may require further analysis or manipulation to draw meaningful insights or conclusions.
ways of presenting data in statistics
The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling.Read more: statistics