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Maximum Points: 10 Choose the most appropriate answer and Cn circle it. (1 point

ID: 3329917 • Letter: M

Question


Maximum Points: 10 Choose the most appropriate answer and Cn circle it. (1 point each) Jaber has collected data on the per capita income and savings from 130 countries to establish any relationship/association between these two variables. But the savings data collected is 1. given in the form of rank and per capita income data is given in absolute value. With this available information, A) he cannot measure the strength of relationship. B) he can convert the income data into ranks and measure the strength of relationship C) he can convert the income data into ranks but can't measure the strength of relationship D) he can use a scatter plot and measure the strength of relationship. 2. In a correlation analysis, Nasser found that the correlation coefficient is negative. That means the variables he had used could be A) advertising and sales. B) income and purchase C) price and quantity demanded of a normal good. D) training of workers and productivity 3. Mubarak has to find out the relationship/association between price of meat and consumption of meat. He has a sample of 60 individuals, who consume meat. He observed in the scatter plot that all the points are in a straight line. That means A) he cannot measure the strength of relationship. B) correlation coefficient is-1 C) correlation coefficient is +1 D) correlation coefficient is infinite. 4. Which of the following statements is NOT correct? A) Correlations can't be found if two variables vary in opposite directions. B) Pearson's correlations coefficient is sensitive to data because if values of any pair of data changes, correlation coefficient also changes C) If any pair of data changes but original ranking order remains same, Spearman's correlation coefficient does not change. D) A simple correlation coefficient can take a value of zero. 5. Using Excel Shaikha calculated the correlation coefficient between two variables: 'growth of fertilizer use' and 'growth in the production of computer chips'. The correlation she found is +0.97. It could be a case which suggests A) that increase in fertilizer use leads to increase in the production of computer chips. B) that increase in the production of computer chips leads to increase in agriculture production. C) that increase in the production of computer chips leads to increase in fertilizer use, D) a spurious correlation. 6. In statistics, a sample is considered to be large if its size is A) more than 100. B) more than 50. C) more than 30

Explanation / Answer

We are allowed to do 1 question at a time. Post again for second question.

1) D option

For Ranks, after Fried man test. we can proceed with:

Non-parametric test - legacy dialogs - K-Independent Sample test. Grouping with demographics like gender etc.

When the input data is actually ranking it is not advisable to use One way anova / post hoc test.