Statistics

A frequency distribution table shows:

1. Only average values
2. Frequency of observations
3. Only maximum values
4. Only minimum values

The value of standard deviation is always:

1. Negative
2. Positive or zero
3. Less than zero
4. Equal to mean

Which measure of central tendency is most suitable for qualitative data?

1. Mean
2. Median
3. Mode
4. Standard deviation

If all observations in a dataset are equal, the standard deviation will be:

1. 1
2. Maximum
3. Zero
4. Negative

The mean deviation is calculated from:

1. Deviations from a central value
2. Maximum values only
3. Minimum values only
4. Frequencies only

The coefficient of variation is used to compare:

1. Absolute values only
2. Relative variability of different datasets
3. Number of observations
4. Frequency distribution only

The square of standard deviation is called:

1. Mean deviation
2. Variance
3. Range
4. Median

Standard deviation measures:

1. Central value
2. Dispersion of data
3. Frequency only
4. Total number of observations

The range of a dataset is:

1. Maximum value + minimum value
2. Maximum value - minimum value
3. Average value
4. Middle value

The median of the data 5, 8, 12, 15, 20 is:

1. 8
2. 12
3. 15
4. 20

The mode of a dataset is:

1. The average value
2. The middle value
3. The value occurring most frequently
4. The highest value

Which measure of central tendency is not affected by extreme values?

1. Mean
2. Median
3. Weighted mean
4. Arithmetic average

If the values are 10, 20, 30, 40, 50, the mean is:

1. 20
2. 25
3. 30
4. 35

The arithmetic mean of a set of observations is:

1. The most frequently occurring value
2. The middle value of arranged data
3. The sum of observations divided by the number of observations
4. The difference between maximum and minimum values

Statistics is concerned with:

1. Only collection of data
2. Collection, organisation, analysis, and interpretation of data
3. Only calculation of averages
4. Only graphical representation