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(d) Use the results of the sample to conjecture the percentage of the population that has type O blood. Is this an example of descriptive or inferential statistics?

Select the correct choice and fill in the answer box to complete your choice. (Type a whole number.)

A. 42%; inferential
B. \_\_\_\_% ; descriptive

(e) If you were to contact a local hospital and ask for the percentage of the population that has blood type O, why might the results differ?

A. The results might differ because there is always a chance that the sample surveyed is different from the population.
B. The results might differ because the results from the study are not likely to be similar to actual patients.
C. The results might differ because hospital patients are constantly being admitted and discharged.
D. The results might differ because certain hospitals only treat patients who have blood type O.

Sagot :

GinnyAnswer

Final answer:

Inferential vs. descriptive statistics explained with an example of conjecturing the percentage of people with type O blood and reasons for potential result differences.


Explanation:

Inferential statistics involves making predictions or inferences about a population based on a sample, while descriptive statistics focuses on summarizing and describing data from a sample.

When contacting a hospital for the percentage of the population with type O blood, the results might differ because there could be variations in the sample surveyed compared to the entire population, making it challenging to generalize the findings.


Learn more about Statistics concepts here:

https://brainly.com/question/37755349


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