Top 150+ Solved Quantitative Methods for Economic Analysis 1 MCQ Questions Answer
Q. You are conducting a survey of the people of India to find out how popular football isamong the Indians. You randomly choose people to call, and make 1,000 phone calls to people scattered across the country. In this study, what of the following statement is true
a. both the people of india and the people you called is the population
b. the people of india is called the population, and the people you called are the sample.
c. the people of india is the sample, and the people you called is the population.
d. both the people of india and the people you called are samples.
Q. A _____ refers to the group in your study whereas a ______ refers to a distinct group ofpeople
a. population; sample
b. sample; population
c. sample; cohort
d. participant; population
Q. Under what circumstances should we be cautious about using the mean as a measure ofcentral tendency?
a. when the data is skewed.
b. when data is positively skewed
c. when data is negatively skewed
d. all of the above
Q. If b = 0 the line of best fit will conventionally be drawn ______
a. as horizontal
b. as vertical
c. as provides the best fit to the scores
d. through the middle of the data points
Q. Linear regression can achieve which of the following
a. allow us to predict someone’s statistical grade from their mathematical ability
b. allow us to identify how much variable y will change if variable x changes
c. allow us to predict that as the weather gets 30% colder, then the sales of sweaters will increase by 50%.
d. all of the above
Q. Linear regression means that every time the value of x increases, y changes by a______amount.
a. increasing
b. decreasing
c. constant
d. all of the above
Q. In regression, the variable being predicted is called the
a. criterion or y variable
b. predictor variable or x
c. x
d. explanatory variable
Q. The _________coefficient (r) is a ratio between the covariance (variance shared by twovariables) and a measure of the separate variances.
a. regression
b. elasticity
c. correlation
d. mean
Q. In correlation, for a positive relationship ____ scores on one variable tend to beassociated with ____ scores on the other variable
a. high; low
b. low; high
c. high; high
d. none of the above
Q. To construct a ________we take each person’s score on x and y and plot where theymeet. Each data point represents two scores.
a. scatter diagram
b. histogram
c. pie diagram
d. ogive
Q. When two variables are correlated we can say
a. that they have a perfect positive relationship
b. that they share variance
c. high scores are frequent on x and y
d. that they are independent
Q. In correlation, which of the following tells us that we have a perfect positive relationship
a. r = +1
b. all the points on the scatter diagram would fall on a straight line and the slope would be from bottom left to top right of the plot
c. the dots on the scatter diagram would fall in a straight line from top left-hand corner down to bottom right hand corner
d. both a and b