STA 111_101 PAST QUESTIONS AND ANSWERS

Title: STA 111/101 PAST QUESTIONS AND ANSWERS
URL: https://studentsdash.com/sta-101-past-questions-and-answers/
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Linear regression model is generally represented mathematically as:
Y = a + bX + e
The coefficient of regression can be estimated by the method called:
Least squares method
Two methods familiar to you for measuring correlation coefficient are:
Pearson’s correlation and Spearman’s rank correlation
The degree of departure from symmetry of a given distribution is described as:
Skewness
When the coefficient of kurtosis is greater than zero the distribution is said to be:
Leptokurtic
The deviation of variables from the true value is called:
Error
A measure of the goodness of an approximation is called:
Standard error
Correct 0.0093 to two significant figures:
0.0093
A process used to estimate a function which predicts value of response variable in terms of value of explanatory variable is called:
Regression analysis
Measurement scale in which a known quantity possible to order the measurement, but the distance between any two adjacent scores is not consistent is called:
Ordinal scale
What scale of measurement can be used for measuring the distance by land between Lagos and other State capitals in Nigeria?
Ratio scale
Toss simultaneously ten identical coins 50 times recording the number of heads resulting from each toss. The distribution you obtained is called:
Binomial distribution
An estimate of a population parameter is called:
Statistic
Parameters are most often the target of the statisticians because:
They describe characteristics of the population
The statistics that do not vary from sample to sample for repeated samples drawn from the same population is called:
Sufficient statistic
Sampling in which each elementary unit of the population is available at every draw and may be chosen more than once is called:
Sampling with replacement
When the ordered data is divided into four equal parts we refer to the dividing values as:
Quartiles
When it is possible to divide a distribution or graph into two equal parts, it is called:
Symmetrical distribution
A distribution in which mean, median and mode are not equal, it is called:
Skewed distribution
Population variance is symbolically denoted as:
σ²
While sample variance is denoted as:
s²
Comparison of the dispersion of various distributions can be performed by the use of an index of relative dispersion called:
Coefficient of variation
A space of equally likely outcomes of an experiment having equal probability is called:
Sample space
Probability concept defined in terms of the equally likelihood of events or outcomes is:
Classical probability
The sample points produced when a dice is cast are not equally likely. True or False:
False
When the possible outcomes of an experiment cannot both occur simultaneously, then the outcomes are said to be:
Mutually exclusive
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