Question

1. How would you interpret correlation coefficient of: -0.95?

A. Not a good correlation measure

B. Week negative correlation

C. Strong negative correlatio

D. Not enough information to determine correlation

2. What statistical measures are used for describing dispersion in data? How do they differ from one another?

A. Range, variance, and standard deviation

B. Mean absolute deviation

C. Mean, median, and mode

D. Mean, standard deviation, and interquartile range

3. What is the difference between a population and a sample?

A. Sample is smaller than the population

B. There are sample statistics and population parameters

C. Samples have frequency distributions while populations have probability distributions

D. All the above

Answer 1

Solution:

1. How would you interpret correlation coefficient of: -0.95?

A. Not a good correlation measure

B. Week negative correlation

C. Strong negative correlatio

D. Not enough information to determine correlation

Ans: C. Strong negative correlation

because value of correlaton is negative and which is near to -1 hence it is highly correlated

2. What statistical measures are used for describing dispersion in data? How do they differ from one another?

A. Range, variance, and standard deviation

B. Mean absolute deviation

C. Mean, median, and mode

D. Mean, standard deviation, and interquartile range

Ans: A. Range, variance, and standard deviation

Because other options give the value of central tendancy

3. What is the difference between a population and a sample?

A. Sample is smaller than the population

B. There are sample statistics and population parameters

C. Samples have frequency distributions while populations have probability distributions

D. All the above

Ans: D. All the above

because all are the property of the sample and population

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