Inferential Data

Question 1

Interferential Data?

Answer 1

Inferential statistics use measurements from the sample data in the experiment to compare the treatment groups and make generalizations/inferences about the larger population of subjects.

Question 2

Statistical Interference concept for population and sample value?

Answer 2

Population Value:
-Fixed always
-Unknown

Sample Value:
-An estimate
-Not fixed
-Known

Question 3

Sample distribution ?

Answer 3

A sampling distribution is a probability distribution of a statistic that is obtained through repeated sampling of a specific population. It describes a range of possible outcomes for a statistic, such as the mean or mode of some variable, of a population.

Question 4

Central Limit Theorem?

Answer 4

The central limit theorem says that the sampling distribution of the mean will always be normally distributed, as long as the sample size is large enough.

Question 5

Precision?

Answer 5

the quality, condition, or fact of being exact and accurate.

Question 6

Accuracy?

Answer 6

the quality or state of being correct or precise.

Question 7

Confidence Intervals?

Answer 7

A Confidence Interval is a range of values we are fairly sure our true value lies in

Statisticians use confidence intervals to measure uncertainty in a sample variable.

Question 8

True population value?

Answer 8

Actual population value that would be obtained with perfect measuring instruments and without committing any error of any type, both in collecting the primary data and in carrying out mathematical operations.

Question 9

95% and true value?

Answer 9

95% of sample will contain true value not that there is 95% probability that true population value is going to be contained in similar interval

Question 10

Accuracy vs Precision?

Answer 10

Accuracy refers to how close a measurement is to the true or accepted value. Precision refers to how close measurements of the same item are to each other.