Daily Practice · Higher

March 2015 5-a-day

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March 2015

31 sheets · 155 questions · Higher tier

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Every sheet in March 2015

The same date always regenerates the same five questions, so a sheet you print today is the sheet a classmate prints tomorrow.

  1. 1st March 2015Box plot A has a median of 50 and box plot B has a median of 42, for the same type of data. What does this tell you about the two data sets?
  2. 2nd March 2015A data set of ages is: 12, 13, 12, 14, -12, 13. Which value is clearly an error, and why?
  3. 3rd March 2015A normal distribution has mean 100 and standard deviation 15. What range contains approximately 95% of the data?
  4. 4th March 2015A PMCC value of r = -0.2 is calculated. Describe the correlation.
  5. 5th March 2015A class interval 10-30 (width 20) has frequency density 3. Find the frequency.
  6. 6th March 2015A cumulative frequency graph for 100 test scores gives Q1 = 40, median = 58, Q3 = 70, minimum = 5, maximum = 98. Determine which of the minimum and maximum should be plotted as individual outliers.
  7. 7th March 2015P(A) = 0.6, P(A or B) = 0.75, and P(A and B) = 0.2. Find P(B).
  8. 8th March 2015The table shows weights, in kg, of 20 parcels: 0-5 (freq 4), 5-10 (freq 10), 10-15 (freq 6). Estimate the mean weight.
  9. 9th March 2015Rewrite the response options '0-5, 5-10, 10-15' so that they no longer overlap.
  10. 10th March 2015A series of 4-point moving averages is 45, 48, 52, 55. Describe the trend shown by these values.
  11. 11th March 2015A bag has only red, blue and green counters. P(red) = 0.5 and P(blue) = 0.2. Find P(green).
  12. 12th March 2015State one reason why a histogram has no gaps between its bars, unlike a bar chart.
  13. 13th March 2015Box plot A has an interquartile range of 8 and box plot B has an interquartile range of 15. What does this tell you about the spread of the middle 50 percent of each data set?
  14. 14th March 2015Using the boundaries from the previous question (2 and 50), state whether a value of 55 in the data set would be classed as an outlier.
  15. 15th March 2015Test scores are normally distributed with mean 65 and standard deviation 8. Estimate the percentage of students scoring between 65 and 81.
  16. 16th March 2015For a data set, Sxy = 30, Sxx = 50, Syy = 40. Calculate the PMCC to 3 significant figures.
  17. 17th March 2015A class interval has width 5 and frequency 20. Find the frequency density.
  18. 18th March 2015A data set has Q1 = 20 and Q3 = 32. Is a value of 55 an outlier? Use the 1.5 x IQR rule.
  19. 19th March 2015P(A) = 1/2, P(B) = 1/3, P(A and B) = 1/6. Find P(A or B).
  20. 20th March 2015The table shows ages, in years, of 50 people at a gym: 10-20 (freq 6), 20-30 (freq 18), 30-40 (freq 16), 40-50 (freq 10). Estimate the mean age.
  21. 21st March 2015What is wrong with the question 'How old are you and do you smoke?'
  22. 22nd March 2015Find the 3-point moving average of 10, 14, 18.
  23. 23rd March 2015P(A) = 0.4 and P(B) = 0.35, where A and B are mutually exclusive. Find P(A or B).
  24. 24th March 2015A histogram has bars of equal width. True or false: the height of each bar represents the frequency for that class.
  25. 25th March 2015Name the five values needed to draw a box plot.
  26. 26th March 2015A data set of 10 house prices, in thousands of pounds, has a mean of 210 without an outlier of 900 included, but a mean of 279 when the 900 is included. Explain why a statistician might exclude the 900 when reporting a typical house price.
  27. 27th March 2015A normally distributed data set has mean 40 and standard deviation 3. Estimate the percentage of values above 43.
  28. 28th March 2015A regression line y = 12 + 1.5x is used to predict y when x = 200, even though the original x-values ranged only from 5 to 20. Explain why this prediction may be unreliable.
  29. 29th March 2015A histogram has classes 20-25 (frequency density 4), 25-35 (frequency density 2.4), 35-50 (frequency density 1.6). Find the total number of data values represented.
  30. 30th March 2015A data set has Q1 = 12 and Q3 = 20. Calculate the IQR and the upper outlier boundary.
  31. 31st March 2015Out of 50 people surveyed, 20 like tea, 25 like coffee, and 10 like both. Find the probability that a randomly chosen person likes tea or coffee.

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