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When trying to visually analyze the relationship between two quantitative variab

ID: 3180344 • Letter: W

Question

When trying to visually analyze the relationship between two quantitative variables, it would be best to use a _____. A. Density curve B. Bar graph C. Boxplot D. Histogram E. Scatterplot For normally-distributed data, what is always accurate of a score occurring at the 50^th percentile? A. It is also the median B. It is also the mean C. It is also the mode D. All of the above E. None of the above An instructor is teaching two sections of the same basic statistics course. The instructor is giving the same exams, homework assignments, and quizzes in both sections. He gathers a simple random sample of 50 students from each section and measures their overall grade in the class. Which statistical procedure should be used to determine if there is a difference in die academic performance between the two course sections (choose the best answer)? A. Independent samples t-test B. One-sample t test C. ANOVA D. Z-test E. None of the above The least-squares regression line is the line that _____ A. makes the sum of the squares of the horizontal distance of the data points from the line as small as possible. B. makes the sum of the squares of the vertical distance (residuals) of the data points from the line as large as possible. C. makes the sum of the squares of the vertical distance (residuals) of the data points from the line zero. D. makes the sum of the squares of the vertical distance (residuals) of the data points from the line as small as possible. E. None of the above

Explanation / Answer

1) For checking a relationship between two quantitative variables we use scatter plot.

So correct option is E) Scatter plot.

2) Median is middlemost value.

So the 50th percentile is median.

So correct option is A) It is also the median

3) For checking a difference in two groups we use Independent sample t-test.

So correct option is A) Independent sample t-test

4) The least-squares regression line is the one that has the smallest possible value for the sum of the squares of the residuals.

So correct option is C) makes the sum of the squares of the vertical distance (residuals) of the data points from the line as small as possible.

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