Question

We have conducted the same experiment fifteen times, and each time we obtain the same results. We can conclude that our data are probably reliable.

a) Accurate
b) Valid
c) Reliable
d) Biased

Answer 1

C) Reliable.

Step-by-step explanation:

the experiment is reliable because it was run multiple times with the same outcome. The data should be better referred to as "precise" as it is a better descriptive term in this context.

Answer 2

The experiment repeated fifteen times consistently indicates that the data are reliable. Reliability is about consistency of results under the same conditions, while validity, accuracy, and bias are different concepts important in evaluating data quality.

Step-by-step explanation:

The experiment being repeated fifteen times with the same results suggests that the data are likely reliable. Reliability refers to the consistency of a measure, meaning when the same circumstances are given, the same results are produced. Considering the context, it's important to differentiate between concepts such as reliability, validity, accuracy, and bias. A measurement or data set is reliable when it can be repeated under the same conditions and yield the same results. Validity refers to how well a test measures what it is supposed to measure. Accuracy is about how close a measurement is to the true or accepted value, while precision involves the closeness of repeated measurements to each other. Lastly, if the sampling method is not properly representative of the population, it could introduce a bias, which undermines both the reliability and validity of the data.