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Calculating means and ranges

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Last updated 7 months ago
25 questions
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Question 1
1.

What is the mean of these results: 8, 10, 12, 14, 16?

Question 2
2.

A student measures the height of a plant on five days: 12 cm, 15 cm, 14 cm, 16 cm, and 13 cm. Calculate the mean height.

Question 3
3.

Question 4
4.

Question 5
5.

How do you calculate the range of a set of results?

Question 6
6.

Question 7
7.

Why is it useful to calculate the mean of a set of results?

Question 8
8.

Question 9
9.

A scientist records five measurements: 2.1 g, 2.4 g, 2.3 g, 2.2 g, and 2.5 g. Calculate the range.

Question 10
10.

Question 11
11.

What is an anomaly in a scientific investigation?

Question 12
12.

Question 13
13.

Why should scientists look for anomalies in their data?

Question 14
14.

A student records the following results: 22, 24, 21, 23, 45. Which result is likely to be an anomaly?

Question 15
15.

Question 16
16.

How can you tell if a result is anomalous in an experiment?

Question 17
17.

Question 18
18.

How should a scientist handle an anomaly in their data?

Question 19
19.

A student measures the mass of five objects: 1.2 g, 1.3 g, 1.4 g, 3.5 g, and 1.3 g. Which value is an anomaly?

Question 20
20.

Question 21
21.

Question 22
22.

A scientist records results for the rate of reaction in an experiment. They repeat the experiment three times and get similar results. What does this suggest about their data?

Question 23
23.

Question 24
24.

Question 25
25.

The mean is calculated by:
Adding all values and dividing by the number of values
Subtracting the smallest value from the largest
Multiplying all values together
Adding the first and last values only
What is the range of these results: 5, 7, 9, 6, 8?
2
3
4
5
A student records temperatures of 12°C, 14°C, 15°C, 16°C, and 13°C. What is the mean temperature?
13°C
14°C
15°C
16°C
If one result in a set is much larger or smaller than the others, this is called:
The mean
The range
An anomaly
A trend
What does a larger range in a data set suggest?
The results are more consistent
The results vary a lot
The results are not affected by anomalies
The results are unreliable
An anomalous result is:
A result that is exactly the same as the mean
A result that does not fit the pattern of other data points
A result that is the highest value in the data set
A result that is the lowest value in the data set
If an anomaly is identified, a scientist should:
Ignore all data
Remove the anomaly and recalculate the mean
Use the anomaly to calculate the mean
Ignore all results except the anomaly
Anomalies in data can be caused by:
A perfectly controlled experiment
Mistakes in measurement or experimental errors
Having too many repeated results
Using the correct units
Why should scientists repeat their experiments?
To make their experiments longer
To reduce the number of results
To check for consistency and improve reliability
To get the same result every time
If a scientist repeats an experiment and gets very different results each time, what does this suggest?
The results are reliable
The experiment might not be fair
The scientist is working too hard
The experiment might have errors or not be controlled
If an experiment is repeated multiple times and the results are very similar, this means the experiment is:
Reliable
Inaccurate
Anomalous
Incorrect
Which of the following best improves the reliability of an experiment?
Repeating the experiment and taking the mean of the results
Changing the method each time
Using only one data point
Ignoring any results that seem too high or too low
Why is it important to have reliable data in scientific investigations?
So scientists can trust the conclusions they make
So experiments take longer to complete
So they don’t have to take multiple readings
So they can always get the same numbers