Statistics and probability, Year 10: quartiles, correlation and independent events:全部卡片
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- The upper quartile minus the lower quartile
The interquartile range
提示Its name says it measures the stretch between two markers that cut the data into quarters.
为什么It is the spread of the middle half of the data, so it is not affected by a few extreme values.
- Seven values in order are 3, 5, 7, 8, 10, 12, 15. What is the interquartile range? (number only)
7
提示Find the middle value, then the middle of each half on either side of it.
为什么The median is the 4th value, 8. The lower quartile is the middle of 3, 5, 7, which is 5, and the upper quartile is the middle of 10, 12, 15, which is 12. Interquartile range = 12 − 5 = 7.
- A cumulative frequency graph shows 80 values. At which two cumulative frequencies do you read across to find the lower quartile and the upper quartile?
20 and 60
提示The quartiles sit one quarter and three quarters of the way through the data.
为什么Lower quartile: 1/4 of 80 = 20. Upper quartile: 3/4 of 80 = 60. Read across from each to the curve and down to the data axis; subtracting the two readings gives the interquartile range.
- A set of test marks contains one very low mark that is far from all the others. Why is the interquartile range a better measure of spread here than the range?
It ignores the extreme mark
提示Think about which part of the ordered list each measure looks at.
为什么The range uses only the highest and lowest values, so a single outlier changes it greatly. The interquartile range covers the middle 50% of the data, between the quartiles, and is not affected by one unusual value.
- In a test, class A has an interquartile range of 6 marks and class B has an interquartile range of 15 marks. What does this tell you about the two classes?
Class A's marks are more consistent
提示A small spread means the middle half of the results sit close together.
为什么The interquartile range measures spread, not how high the marks are. A smaller value means the middle half of the marks are closer together. To compare how well the classes did, you would compare their medians.
- When you draw a line of best fit by eye on a scatter graph, how should the points be shared around the line?
About as many above it as below it
提示The line should run through the middle of the cloud of points, following its direction.
为什么A line of best fit is a single straight line that follows the trend, passing as close as possible to the points with a roughly even balance on each side. It is only drawn when the points show a correlation.
- Using a line of best fit to estimate a value inside the range of the data
Interpolation
提示The prefix is the same as in "interior" and "internal".
为什么Interpolated estimates are usually reliable, because the line there is supported by real data on both sides.
- Using a line of best fit to predict a value beyond the range of the data is called ____.
extrapolation
提示The prefix is the same as in "exterior" and "external".
为什么Extrapolated estimates are risky: there is no data out there to show that the trend continues in the same way.
- A scatter graph shows the ages and heights of children aged 5 to 15, with a line of best fit that slopes upwards. Why would it be unreliable to use the line to predict the height of a 40-year-old?
The trend may not continue beyond the data
提示Ask what really happens to a person's height once they are grown up.
为什么The line describes only ages 5 to 15. Extending it assumes people keep growing at the same rate for ever, which gives an impossible height; in fact growth stops in the late teens.
- A line of best fit for revision time against test score passes through the points (2, 30) and (10, 70), where the first number is hours of revision and the second is the score. Using the line, predict the score for 6 hours of revision. (number only)
50
提示Six hours is exactly halfway between the two revision times you know.
为什么Between the two points the score rises by 40 over 8 hours, which is 5 marks per hour. From 2 hours to 6 hours is 4 more hours: 30 + 4 × 5 = 50. Six hours is inside the range of the data, so this is interpolation.
- Two quantities can rise and fall together without one making the other change: correlation does not prove ____.
causation
提示The missing word names one thing bringing about another.
为什么A scatter graph can show that two quantities are linked, but not why. A third factor, the reverse direction or plain coincidence can all produce a correlation.
- In a primary school, pupils with bigger shoe sizes tend to score higher on a reading test. What third factor explains both?
Age
提示Think about what separates the youngest classes from the oldest ones.
为什么Older children have bigger feet and have also had more years of practice at reading. Shoe size and reading score rise together because both depend on age, not because feet help reading.
- In one class of 30 pupils, those whose surnames come earlier in the alphabet happened to score higher in a maths test. Nothing links surnames to maths. What is the most likely explanation for the correlation?
Coincidence (chance)
提示Ask whether there is any sensible way the two could be connected at all.
为什么With enough pairs of quantities, some will show a pattern purely by accident, especially in a small group. When no reasonable link or shared cause can be found, that is the most likely explanation.
- A survey finds that people who exercise more report feeling happier. A pupil concludes that exercise causes happiness. Suggest how the cause could run the other way.
Happier people may choose to exercise more
提示Swap which of the two things comes first.
为什么The data cannot show which comes first. It may be that feeling well makes people more active, or that both directions play a part.
- A newspaper headline says: "Children who eat breakfast get better grades, so breakfast boosts brains!" The claim rests on a correlation between eating breakfast and grades. What is wrong with the headline?
It treats a correlation as proof of a cause
提示The data show two things going together; the headline claims rather more.
为什么The figures show only that breakfast and good grades tend to go together. Something else, such as a settled home routine, could lie behind both, so the data alone cannot show that breakfast produces the grades.
- Two events for which one happening does not change the probability of the other
Independent events
提示The everyday meaning of the word is "not relying on anyone else".
为什么Two tosses of a coin are an example: the first result has no effect on the second. If one event does change the chance of the other, the events are dependent.
- A fair six-sided dice has been rolled 20 times without showing a six. A pupil says a six is now "due", so it is more likely on the next roll. What is the probability of a six on the next roll, and why?
Still 1/6 — each roll is independent of the ones before
提示Ask what the dice "knows" about its earlier throws.
为什么The dice has no memory: nothing about it changes between rolls, so the chance of each face stays at 1/6. Long runs without a six are unusual, but they do not make the next roll any different.
- A bag holds 3 red and 2 blue counters. A counter is taken, its colour is noted, and it is put back before a second counter is taken. The first pick cannot change the chances for the second, so in probability the two picks are called ____ events.
independent
提示Ask whether the first pick changes what is in the bag for the second.
为什么Putting the counter back restores the bag, so the probability of red is 3/5 on both picks whatever happened first. Without replacement the bag changes and the picks become dependent.
- A bag holds 3 red and 2 blue counters. A red counter is taken out and NOT put back. What is the probability that the next counter taken is red? Give a fraction in its simplest form.
1/2
提示Recount the bag, both the reds and the total, after the first counter has gone.
为什么After one red is removed the bag holds 2 red and 2 blue, 4 counters in all. P(red) = 2/4 = 1/2. The first pick changed the chance for the second, so the two events are dependent.
- The probability that Asha is late for school is 0.1 and the probability that Ben is late is 0.2. A pupil works out the probability that both are late as 0.1 × 0.2. What is the pupil assuming about the two events?
That they are independent
提示Think about whether one of them being late could make it more likely for the other.
为什么Multiplying two probabilities gives the chance of both only when neither event affects the other. If Asha and Ben catch the same bus, a late bus makes both late together and the multiplication no longer holds.
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