Which of the following are examples of inferential statistics?
Check all that apply.
A.Finding the average (mean) of a set of numbers
B.Testing every lightbulb produced by a company to confirm that each one works
C.Testing random samples of lightbulbs produced by a company to confirm they work
D.Predicting whom you will someday marry
E.Testing a new drug on a random sample of patients to see how effective it is at curing the flu
It might be E or C im not sure tho.
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To determine which of the options are examples of inferential statistics, we need to understand the concept of inferential statistics.
Inferential statistics involves drawing conclusions or making predictions about a population based on a sample. It is used to make generalizations or inferences about a larger group using data collected from a smaller subgroup.
Now let's analyze each option:
A. Finding the average (mean) of a set of numbers:
This is an example of descriptive statistics, which involves summarizing and describing the characteristics of a dataset. It does not involve making inferences or predictions about a population based on a sample. Therefore, this option is not an example of inferential statistics.
B. Testing every lightbulb produced by a company to confirm that each one works:
This is an example of population testing or 100% inspection. It involves testing every item in the population, which means collecting data from the entire group. It does not involve making inferences about a population based on a sample. Therefore, this option is not an example of inferential statistics.
C. Testing random samples of lightbulbs produced by a company to confirm they work:
This option involves testing random samples of the lightbulbs, which is a common way to conduct inferential statistics. By testing a sample, we can make inferences or predictions about the entire population of lightbulbs produced by the company. Therefore, this option is an example of inferential statistics.
D. Predicting whom you will someday marry:
This option doesn't involve any statistical analysis or data collection. It is a personal prediction or decision and is not related to inferential statistics.
E. Testing a new drug on a random sample of patients to see how effective it is at curing the flu:
This is another example of inferential statistics. By testing a random sample of patients, we can draw conclusions or make predictions about the effectiveness of the drug in curing the flu for the larger population. Therefore, this option is an example of inferential statistics.
Based on the analysis above, the examples of inferential statistics are:
- C. Testing random samples of lightbulbs produced by a company to confirm they work
- E. Testing a new drug on a random sample of patients to see how effective it is at curing the flu