7- QQ plot can be used to determine if a given data set follows a specified prob

Question

7- QQ plot can be used to determine if a given data set follows a specified probability distribution or not.

True

False

8 – Statistical inferences can be made through either constructing a confidence interval or conducting hypothesis testing for an unknown population parameter.

True

False

10 - When two sampling data sets are dependent, the paired t test should be used to make inference about if the difference the means is different or not.

True

False

Explanation / Answer

7. true 7- QQ plot can be used to determine if a given data set follows a specified probability distribution. The quantile-quantile or QQ plot is an exploratory graphical device used to check the validity of a distributional assumption for a data set. The basic idea is to compute the theoretically expected value for each data point based on the distribution in question. If the data indeed follow the assumed distribution, then the points on the QQ plot will fall approximately on a straight line.

8. true.

Statistical inferences can be made through either constructing a confidence interval or conducting hypothesis testing for an unknown population parameter. Statistical inferences can be explained as the theory, methods, and practice of forming judgements about the parameters of a population and the reliability of statistical relationships, on the basis of random sampling. Statistical inference is the process of drawing conclusions about populations or scientific truths from data. Statistical inference can be divided into two groups: 1. interval estimation. 2. Statistical hypothesis testing (probabilistic inference about certain sample parameters reflecting (or not) the parameters of the population.

10.true

When two sampling data sets are dependent, the paired t test should be used to make inference about if the difference the means is different or not. A dependent-samples t-test can be used to compare data from related groups or the same people over time. This is most often used when you have a pre-test/post test setup.

Example: You want to know whether marks of students before coaching and after coaching are same or not compare their answers. Thus, use a dependent-samples t-test when: You have two separate data sets that are provided by the same people, just at different times (e.g. pre/post)

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