Descriptive: Last semester, the heights of students at a certain college ranged from 5-6 ft.
Inferential: Eating garlic can lower blood pressure.
Chat with our AI personalities
The answer depends on what THAT PARTICULAR refers to. And since you have not bothered to share that critical bit of information it is not possible to give a more helpful answer.
Inferential statistics, is used to make claims about the populations that give rise to the data we collect. This requires that we go beyond the data available to us. Consequently, the claims we make about populations are always subject to error; hence the term "inferential statistics" and not deductive statistics.
Descriptive statistics give information regarding a data set. For example, any graph, the mean, median, and mode, standard deviation, range, and variance are all descriptive statistics. Inferential statistics is using a representative sample from a population to say something about that population. For example, for presidential polls, not everyone in the country is called and asked who they plan to vote for. Whoever does the surveying picks a sample that should fairly represent the population as a whole, and just asks those people. Depending on the sample size, the surveyor can then determine how accurate the results are, and use them to generalize to the population as a whole.
Populations, parameters, and samples in inferential statistics. Inferential statistics lets you draw conclusions about populations using small samples. Consequently, inferential statistics provide enormous benefits because typically you can not measure and entirepopulation.Roll no: 18-237
statistics is used in all aspect of life. so which ever one human finds himself it is alwayz beter to give it a name examples are agricultural statistics, insurance statistics, actuarial statistics,educational statistics,financial statistics etc