STT206
1. ________ is a sample drawn from a population in such a way that the results of its analysis may be used to generalize about the population from which it was drawn.
Discrete Sample
Continuous Sample
Random Sample
Inferential Sample
2. \(\frac{\sum _{n}^{i=1}\left ( x_{i} – \bar{x} \right )}{n-1}\) is the ________ for a given set of an ungrouped data
Sampling
Standard deviation
sample Variance
Variable
3. _______ can be said to measure the degree of uniformity of observations in a given set of data.
Dispersion
Quartile
Deviation
Domain
4. In probability theory and statistics, the _________is the discrete probability distribution of the number of successes in a sequence of independent yes/no experiments
Binomial distribution
Bernoulli distribution
Normal distribution
Poisson distribution
5. \(\rho =1-\frac{6\sum d_{i}^{2}}{n\left ( n^{2}-1 \right )} \) formula is called the ________
Spearman’s rank correlation
Pearson’s correlation coefficient
Student T- test statistic
Mann-whitney rank
6. ___________ is a variable that is not measurable in numerical form or that cannot be counted.
Qualitative Variable
Random Variable
Continuous Variable
Quantitative Variable
7. Consider a set of data on monthly sales of a company’s product, the mean of which was found to be N240, 000; the mode found to be N135, 000; and the standard deviation found to be N85, 000. The Pearson’s No. 1 Coefficient of skewness would be ________
1.24
1.33
1.42
2.14
8. _________ is a scientific approach to presentation of numerical information in such a way that one will have a maximum understanding of the reality represented by such information
Sampling
Statistics
Statistic
Variable
9. ______ has all the properties of the nominal, ordinal and interval scales including the additional property of having an absolute zero point.
Interval Scale
Ordinal Scale
Nominal Scale
Ratio Scale
10. _______the square root of the variance for a given set of data.
Mean deviation
Standard deviation
Quartile deviation
Range deviation
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