You can't estimate std dev by eye; use the range rule of thumb which is: std dev = range/4.
Chat with our AI personalities
The standard deviation stretch is used to stretch the output values using a normal distribution. The result of this stretch is similar to what is seen by the human eye.
no, they are categorical
If a hypothesis is rejected because it was disproved, then one can rephrase the hypothesis to exclude the disproven data. For example: Hypothesis: White appears black. Data: When viewed by the naked eye in daylight, white appears differently than black. When viewed by the naked eye in darkness, white appears black. Reword hypothesis: In darkness, white appears black.
Some variables in the data set might be qualitative, others might not. For example, if one were to sample newly arrived immigrants to Toronto, Canada and create a data set of information about them one could include both qualitative and quantitative data. One might measure each person's height which would be quantitative, and observe each person's eye colour, which would be qualitative.
A bar graph is for measuring discontinuous data, for example 'What colour eyes do people in this room have'? This would be a bar chart (number on the y axis and eye colours on the x)A line graph is for measuring continuous data, like temperature, for example.