Qualitative inferential descriptive quantitative statistics consists of organizing and summarizing information collected, while qualitative quantitative descriptive inferential statistics uses methods that generalize results obtained from a sample to the population and measure the reliability of the results.

Descriptive statistics consists of organizing and summarizing information collected, while inferential statistics use methods that generalize results obtained from a sample to the population and measure the reliability of the results.

Step-by-step explanation:

By definition, descriptive statistics summarize a given data set using measures of central tendency and measures of variability.  

Measures of central tendency include:

Measures of variability include:

By definition, inferential statistics are used to make generalizations about a population from data samples.

For example, you might ask a sample of 100 people if they like shopping. You could make a bar chart of yes or no answers (descriptive statistics) or you could use your research and then, reason which is the percentage of the population that likes shopping (inferential statistics).

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step-by-step explanation:

sinn is the total amount of students now and m were the students before, you subtract them both (n-m) and divide that by m. then, since to get a percentage from a fraction you have to multiply by 100, your answer should look like this: n-m/m*100

step-by-step explanation: