Lesson 2g.01
2g.01 Know that a set of sample means are more closely distributed than individual values... Quiz: Pearson Edexcel Statistics, Unit 2
20 questions
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Lesson 2g.01, Know that a set of sample means are more closely distributed than individual values...: 20 multiple choice questions for the Pearson Edexcel GCSE Statistics (1ST0), Unit 2: Processing, representing and analysing data, written with Revision Ninja.
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The 20 questions
-
Which set of values is typically more closely clustered than individual data points?
- Sample means
- Extreme values
- Sample ranges
- Raw data values
-
Why are sample means less spread out than individual values from the same population?
- Extremes balance out
- Spread always doubles
- Samples are smaller
- Means ignore data
-
What happens to the spread of sample means as the sample size increases?
- Spread increases
- Spread stays constant
- Spread decreases
- Spread becomes zero
-
How are sample means distributed compared to individual values from the same population?
- More widely distributed
- Distributed identically
- Completely uniformly
- More closely distributed
-
Which of these represents a set of sample means?
- Raw plant lengths
- Class mean heights
- Single test scores
- Individual pupil masses
-
Which sample size is most likely to yield a mean close to the population mean?
- 1 person
- 5 people
- 2 people
- 50 people
-
What term describes the probability distribution of a set of sample means?
- Raw data set
- Frequency polygon
- Sampling distribution
- Population matrix
-
In a school, mean heights are calculated for 20 classes. How do these means compare with the heights of all students?
- Greater range
- More variation
- Less variation
- The same variation
-
Class mean heights range from 150 cm to 170 cm. Individual heights in the school range from 135 cm to 185 cm. What is the range of the class means?
- 20 cm
- 35 cm
- 50 cm
- 15 cm
-
Compared with individual measurements, how are hourly sample means expected to behave?
- Have zero spread
- Vary more
- Vary less
- Match the range
-
What is the main statistical benefit of using sample means instead of individual values in quality control?
- Increases sample cost
- Averaging reduces noise
- Eliminates all bias
- Removes data spread
-
Set A has individual masses from 2.0 kg to 3.0 kg. Set B has sample means from 2.3 kg to 2.6 kg. Which shows greater variation?
- Neither
- Set B
- Set A
- Both equal
-
A school's 10 class means are 155, 158, 160, 161, 162, 163, 164, 165, 167 and 170 cm. What is the range of the class means?
- 15 cm
- 12 cm
- 20 cm
- 10 cm
-
Which change would make hourly sample means vary least?
- Using median instead
- Stopping the clock
- Larger sample size
- Smaller sample size
-
Which incorrect statement is often assumed about sample means?
- Depend on sample size
- Always equal population
- Less spread than individuals
- Vary around population mean
-
Individual values have a standard deviation of 12. What is the standard deviation of the means of samples of size 36?
- 0.33
- 36
- 2
- 6
-
For a population, the standard deviation of means from samples of size 25 is 3. What is it for samples of size 100?
- 0.75
- 0.3
- 3
- 1.5
-
Why are sample means more reliable estimators than single individual values?
- They ignore outliers completely
- They have zero variance
- They are always integers
- Averaging reduces extremes
-
What remains true about a single individual value even when sample means cluster tightly?
- Can lie far
- Always lies centrally
- Must equal mean
- Cannot be recorded
-
If individual heights have standard deviation 9 cm and class means have standard deviation 4 cm, what is the standard deviation ratio?
- 9/4
- 13/5
- 1/4
- 4/9
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