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).

1. sometimes

2. never true

3. sometimes

step-by-step explanation:

these are pretty self explanatory if you know what supp right and com angles are

answer: its c because when it has a magnet next to it it will move away from the mixture. hope this

step-by-step explanation: