MCQ Class 11 Economics Chapter 6 Measures of Dispersion Advertisement Statistics for EconomicsMCQ’s For All Chapters – Economics Class 11th 1. Two variables are said to be positively correlated when with _____ in the value of one variable, the value of other variable also _____A) Fall , falls B) No change, Rises C) Fall, Rises D) Rise , FallsQuestion 1 of 202. If with the fall in the value of one variable the value of another variable rises in the same proportion then it is said to beA) Negatively correlated B) Positively correlated C) Both D) NoneQuestion 2 of 203. If the coefficient correlation exactly equals to -1 then it will be effectA) Multiple correlation B) Simple correlation C) Positive correlation D) Negative correlationQuestion 3 of 204. When the correlation is only studied between two variables it is calledA) Positive correlation B) Multiple correlation C) Negative correlation D) Simple correlationQuestion 4 of 205. Multiple correlation isA) When the correlation is only studied between two variables B) When the correlation is only studied between three variables C) When the correlation is studied between three or more variables D) When the correlation is only studied between four variablesQuestion 5 of 206. If cov(x,y) = 0 thenA) x and y are correlated B) x and y are linearly related C) x and y are uncorrelated D) noneQuestion 6 of 207. Correlation coefficient is independent of change ofA) Origin B) Origin and Scale C) Scale D) NoneQuestion 7 of 208. Rank Correlation was found byA) Pearson B) Spearman C) Galton D) FisherQuestion 8 of 209. The coefficient of correlationA) Cannot be negative B) Cannot be positive C) Always positive D) Can either be positive or negativeQuestion 9 of 2010. If two variables are highly correlated, what do you know?A) That there are no other variables responsible for the relationship B) That high values on one variable lead to high values on the other variable C) That they always go together D) That changes in one variable are accompanied by predictable changes in the otherQuestion 10 of 2011. Which of the following indicates the strongest relationship?A) r = - .6 B) r = .08 C) r2= .2 D) r = .5Question 11 of 2012. A researcher finds the value of correlation coefficient to be .40 between personal income and the number of years of college completed. Based upon this finding he can conclude thatA) Personal income is a positively skewed variable B) More years of education are associated with higher income C) A person who attended four years of college will have an annual income of Rs.40,000 D) NoneQuestion 12 of 2013. Which of the following may have an adverse effect on the correlation coefficient?A) The scores on one variable have larger numbers than the other variable B) Restricting the range of possible scores C) A negative relationship between your X and Y variables D) Too many people in your experimentQuestion 13 of 2014. Which of the following is not a use for r?A) Correlation B) Power analysis C) Validity D) ReliabilityQuestion 14 of 2015. If two variables oppose each other then the correlation will beA) Negative Correlation B) Perfect Correlation C) Positive Correlation D) No CorrelationQuestion 15 of 2016. A perfect negative correlation is signified byA) 0 B) -1.0 C) 1 D) 2Question 16 of 2017. The Spearman correlation is used withA) Ordinal data B) Interval data C) Ratio data D) Nominal dataQuestion 17 of 2018. If the plotted points in the plane are spread all over the diagram, then there isA) Highly Negative correlation B) No correlation C) Highly Positive correlation D) NoneQuestion 18 of 2019. Study of price and demand eliminating supply sideA) Partial correlation B) Total correlation C) Both D) NoneQuestion 19 of 2020. Following are the examples of positive correlation exceptA) Increase in height and weight. B) Sale of woollen garments and day temperature C) Age of husband and age of wife. D) Price of commodity and amount of supplyQuestion 20 of 20 Loading...
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