Data Visualization Questions and Answers PDF

## Data Visualization ### Question | Question | A | B | C | D | CorrectAns | Explanation | |---|---|---|---|---|---|---| | A quality | c2.3 to 2.7 | 2.1 to 2.9 | 2.4 to 2.6 | 2.0 to 3.0 | A | 68% of the data falls within one standard deviation of the mean. The upper boundary is 2.5+0.2=2.7 | | A b...

## Data Visualization ### Question | Question | A | B | C | D | CorrectAns | Explanation | |---|---|---|---|---|---|---| | A quality | c2.3 to 2.7 | 2.1 to 2.9 | 2.4 to 2.6 | 2.0 to 3.0 | A | 68% of the data falls within one standard deviation of the mean. The upper boundary is 2.5+0.2=2.7 | | A biostatis | 82.5 years | 90 years | 97.5 years | 105 years | C | 68% of the data falls within one standard deviation of the mean. The upper boundary is 75+1.5\*15=97.5 | | A meteorol | 50% | 68% | 95% | 99.70% | B | The median is less affected by outliers and is a more appropriate measure for skewed data. | | An econom | Median | Mode | Range | | B | | | A pharmac | 26 minutes | 20 minutes | 34 minutes | 28 minutes | B | A reaction time of 20 minutes (30-2.5\*4) is unusually fast. | | A data anal | standard 2 | standard 2.5 | standa 3 | standard | B | The difference is 66,000-50,000=16,000, which is 2 standard deviations. | | A psycholo | Range | Standard | CInterquarti | Mean | B | The IQR is less affected by extreme values and is appropriate for skewed data. | | An enginee | 2 standard | 3 standard | 1 standard | 0.5 standa | B | The difference is 106-100=6, which is 3 standard deviations above the mean. | | A mathema | | | | | C | 190 and 210 are both within one standard deviation of the mean: 200 ± 10. | | A farmer | 0 grams | 50 grams | 75 grams | 90 grams | A | The lower boundary is 100-1.5\*150=-125 grams. | | A universit | Histogram | Box Plot | Pie Chart | Stem Plot | B | | | A transpor | Time Plot | Box Plot | Bar Chart | Stem Plot | A | A box plot is useful for comparing the spread and central tendency of GPAs across different majors. | | A nutrition | Pie Chart | Histogram | Box Plot | Stem Plot | C | A time plot is best for showing how traffic patterns change over the year and identifying trends or seasonal effects. | | A stock ma | Scatter Plo | Box Plot | Histogram | Line Chart | C | A box plot will summarize the spread and highlight any outliers in the daily calorie intake data. | | An e-comm | Time Plot | Box Plot | Histogram | Pie Chart | A | A histogram will show the shape of the distribution of daily returns, revealing if it is normal or skewed. | | A wildlife | Stem Plot | Box Plot | Bar Chart | Scatter Plo | A | A time plot will show how the number of purchases changes throughout the day and identify peak shopping hours. | | A meteorol | Line Chart | Box Plot | Histogram | Stem Plot | B | A stem plot is suitable for a small dataset and will display the exact wingspan measurements while showing the distribution. | | A health re | Box Plot | Histogram | Stem Plot | Scatter Plo | C | A box plot allows for a clear comparison of the rainfall distribution and variability between the two cities. | | A school ac | Pie Chart | Box Plot | Time Plot | Stem Plot | B| A stem plot is useful for comparing the distributions and medians of exam scores between the two classes. | ## Data Visualization Description This document is a table that provides a series of questions about data visualization and the corresponding correct answers and explanations. For each question, the document lists four possible answers and the correct answer, accompanied by an explanation. The explanations elaborate on the reasoning behind the choice of the correct answer, often referring to statistical concepts like standard deviation, median, and outliers.