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CTJan27 Online Year 6 - Measuring Data Variability: Range and Interquartile Range (IQR)

CTJan27 Online Year 6 - Measuring Data Variability: Range and Interquartile Range (IQR)

Complete all the Questions.

Multiple Choice

  1. Why is measuring data variability (spread) important when analyzing a set of numbers?

  2. What is the simplest measure of variability, calculated by finding the difference between the largest and smallest values in a dataset?

  3. Calculate the Range for the following dataset: $12, 5, 20, 8, 15$.

  4. A student scored the following points on five quizzes: $40, 50, 10, 35, 25$. What is the Range of their scores?

  5. If a dataset has a maximum value of $150$ and a minimum value of $10$, what is the Range?

  6. Two classes scored the same average (mean) on a test. Class A had a Range of $10$, and Class B had a Range of $35$. What does the Range tell us?

  7. The number of siblings reported by students are: $0, 3, 1, 2, 4, 1$. Calculate the Range of the number of siblings.

  8. Which step MUST be completed first before calculating the median or quartiles?

  9. The Median ($Q_2$) is essential for calculating the IQR. What percentage of the data falls below the Median?

  10. Find the Median ($Q_2$) of the following ordered dataset: $1, 5, 8, 10, 15$.

  11. Find the Median ($Q_2$) of the following dataset: $12, 18, 5, 25, 10, 30$.

  12. What is another name for the Median in the context of calculating data variability?

  13. Calculate the Median ($Q_2$) for the dataset: $7, 10, 1, 5, 12, 3$.

  14. If a dataset has $9$ data points, which ordered position represents the Median ($Q_2$)?

  15. The Lower Quartile ($Q_1$) is the median of which part of the data?

  16. For the dataset $2, 4, 6, 8, 10, 12, 14$, the Median ($Q_2$) is $8$. What is the lower half of the data used to calculate $Q_1$?

  17. Calculate the Lower Quartile ($Q_1$) for the ordered dataset: $10, 20, 30, 40, 50$.

  18. Calculate the Upper Quartile ($Q_3$) for the ordered dataset: $1, 2, 3, 4, 5, 6, 7$.

  19. A dataset has $8$ points: $10, 20, 30, 40, 50, 60, 70, 80$. The Median ($Q_2$) is $45$. What is the value of the Upper Quartile ($Q_3$)?

  20. The Upper Quartile ($Q_3$) marks the point where what percentage of the data is equal to or less than that value?

  21. If the data points in the lower half are $10, 15, 20, 25$, how is the Lower Quartile ($Q_1$) calculated?

  22. What does the Interquartile Range (IQR) specifically measure?

  23. Which formula correctly defines the Interquartile Range (IQR)?

  24. If the Lower Quartile ($Q_1$) is $22$ and the Upper Quartile ($Q_3$) is $38$, what is the Interquartile Range (IQR)?

  25. Dataset A has an $IQR = 5$, and Dataset B has an $IQR = 15$. Which dataset shows greater variability in its middle $50\%$?

  26. A set of heights has $Q_1 = 60$ inches and $Q_3 = 70$ inches. What is the IQR?

  27. If $Q_1 = 4.5$ and $Q_3 = 18.5$, calculate the IQR.

  28. A dataset has a Range of $100$ and an IQR of $10$. What does this suggest about the data?

  29. Consider the following dataset: $5, 10, 15, 20, 25, 30, 35$. Calculate the Range.

  30. Using the dataset $5, 10, 15, 20, 25, 30, 35$, what is the Median ($Q_2$)?

  31. Using the dataset $5, 10, 15, 20, 25, 30, 35$, what is the Lower Quartile ($Q_1$)?

  32. Using the dataset $5, 10, 15, 20, 25, 30, 35$, what is the Upper Quartile ($Q_3$)?

  33. Using the dataset $5, 10, 15, 20, 25, 30, 35$, calculate the Interquartile Range (IQR). (Hint: $Q_1=10, Q_3=30$)

  34. A dataset is highly skewed (has many values clustered at one end). Which measure of variability is usually less affected by this skewness or by extreme outliers?

  35. Which statement correctly pairs the measure of spread with what it describes?

  36. A group of students recorded the following scores on a math quiz: $12, 8, 15, 10, 14, 11, 9$. What is the median ($Q_2$) score for this dataset?

  37. Six athletes measured their heights (in centimeters): $140, 155, 142, 160, 148, 150$. What is the range of their heights?

  38. Eight students tracked their monthly phone usage (in hours). When ordered, the data is $4, 5, 6, 7, 9, 10, 12, 15$. What is the value of the first quartile ($Q_1$)?

  39. Using the ordered phone usage data set ($4, 5, 6, 7, 9, 10, 12, 15$), what is the value of the third quartile ($Q_3$)?

  40. Based on the dataset used for phone usage, where the first quartile ($Q_1$) is $5.5$ hours and the third quartile ($Q_3$) is $11$ hours, calculate the Interquartile Range (IQR).

  41. A fitness tracker recorded the following daily steps (in thousands): $5, 8, 12, 6, 10, 15, 7, 9, 11$. What are the values for $Q_1$ and $Q_3$, respectively?

  42. Using the daily steps dataset where $Q_1 = 6.5$ and $Q_3 = 11.5$ (in thousands of steps), calculate the Interquartile Range (IQR).

  43. Dataset X has an Interquartile Range (IQR) of $8$, and Dataset Y has an IQR of $4$. Which statement correctly describes the variability of the middle $50\%$ of the data?

  44. What is the correct sequence of steps required to calculate the Interquartile Range (IQR) for any given dataset?

  45. Ten students received the following test scores: $60, 75, 80, 85, 90, 90, 95, 100, 70, 65$. Calculate both the Range and the Interquartile Range (IQR).