Setting the options for Significance (t-test)
You can control the way t-tests and U-tests are calculated by changing the figures in the Summary Statistics tab of the Analysis Definition dialog. If you want these figures to be the default values for the survey, you must set them in the Analysis tailoring dialog. This also has a Summary Statistics tab. You open […]
Using Significance (t-test) in tables
The Significance (t-test) allows us to compare the significance of the mean of each column of data with the significance of the mean of the base. For example, in the Crocodile Rock Cafe survey it might be required to see whether there is a significant difference in perception of speed of service between different age […]
Setting the options for t-tests and U-tests
You can control the way t-tests and U-tests are calculated by changing the figures in the Summary Statistics tab of the Analysis Definition dialog. If you want these figures to be the default values for the survey, you must set them in the Analysis tailoring dialog. This also has a Summary Statistics tab. You open […]
Using U-tests in tables
In the Crocodile Rock Cafe survey, the speed of service,Q6a is rated by respondents in various age groups, Q11. The U test can be used to identify differences between the ratings for the different age groups. Click to open the Analysis Definition dialog to build a table. Specify the Analysis variable for the table as […]
Using t-tests in tables
The t-test is used to compare two mean scores to see if the difference between them is statistically significant. A table is set up with mean scores applied. The level of confidence between the mean scores for two different groupings can then be displayed by using a t-test. For example, in the Crocodile Rock Cafe […]
Calculating median scores
The following example uses the Crocodile Rock Cafe Survey. Question 6a is an attitude questions using a rating scale of very good to very poor coded 1 to 5. Click to display the Analysis Definition dialog box. Specify the Analysis as Q6e, Choice of food. Specify the Break as Q11, Age range. Click on the […]
Calculating mean scores after banding a quantity variable
The following example uses the Crocodile Rock Cafe survey supplied with Snap XMP Desktop. Question 8 is an attitude question, asking respondents to rate their experience on a scale of 1 (poor) to 10 (excellent). It is a quantity variable, so to find out how many people entered each value, it must be banded into […]
Weight reports
Click on to display the Weight Report dialog box. A default report title is entered which you can update with a more suitable title. This dialog has three different report formats: Detailed, single column Produces a report showing all the elements of each weight, as specified in the Weight Details window, in a single column […]
Using weights to calculate the difference in rating
Sometimes Weights are used as part of a calculation. They give different scores to the responses, so you can convert a variable code into another value for calculation. You can use weights to subtract the negative from the positive values of a rating scale variable. By using this data in a statistics table, you can […]
Using a weight to convert responses into numerical values
You may wish to further analyse questions by converting the response given into a numerical score, and using this to provide summaries of respondents’ answers. The example shows how to convert a ratings scale into a numerical value, so you can get an average value for the qualities that are being rated. The questions to […]