Statistics panel

On the left, on the bottom, of the Result Management page there is the Statistics panel.

If this panel is not visible when you open the Result Management page, check the Statistics panel option in the View menu.

This panel is a statisics/calculation panel. Depending on the question type, some calculations are made and the values are displayed:

Count: The number of people who answered.

Frequency: The percentage of people who answered.

Sample answering: A sample is a subset of a population. You can consider your population the real audience you are trying to learn about, and the sample is the number of people who answered.

Average (or Mean): The average is the sum of values, divided by the number of values.

If you ask the question "How many people are employed in your company?" and you received the following values (say only five people answered your survey):

10, 25, 30, 30 and 50,

the mean is 29 (10 + 25 + 30 + 30+ 50 = 145; 145/5 = 29)

Median: The median is the numerical value in the center after all the values have been sorted in ascending order. The median has an equal number of values below and above it. In the example above, the median is 30 (two values are above and two are below).

Mode: The mode is the most represented value (value with the highest frequency). In the above example the mode is 30 - it just happens to be the same as the median in this case.

Standard deviation: The standard deviation curve shows how the scores are spread out. A high standard deviation indicates that values deviate more from the mean (are more spread out) than samples with a smaller standard deviation.

Absolute deviation: The absolute values of the differences (and not the differences) from the mean are summed, because adding the positive and negative values of differences in a distribution from its mean, will always be 0. (In case you do not remember from high school math, the absolute value of negative 5 (-5) is 5, just as the absolute value of positive 5 is 5.)

Range: The difference between the highest and lowest data point. For example, looking at the answer values: 10, 25, 30, 30 and 50, the range is 50 - 10, or 40.

Variance: The variance is the spread of the values from the mean. The square root of the variance is the standard deviation (see above).

Kurtosis: Kurtosis is a measure of the peakedness or flatness of a distribution compared to the normal distribution (bell curve). Positive Kurtosis indicates a relatively peaked distribution. Negative Kurtosis indicates a relatively flat distribution.

Poisson: The Poisson distribution is used to find the probability of the number of events that occurr in a specific time period.

Skew: The skew relates to the asymmetry of a distribution around its mean. Positive skew means that the distribution has a long tail in the positive direction (to the right). Negative skew means that the distribution has a long tail in the negative direction (to the left).