Create hypothesis tests to see if that population parameter really is what you think it is. The tests available currently are 1/2 sample mean/proportion and regression hypothesis tests. Maybe Chi squared in the future...
You can choose to create a one sample hypothesis test for proportion or mean. If you are creating one for a mean, you can either enter in the statistics neccessary from the sample or select a list to represent the sample data. Then, simply indicate whether you are testing if the population parameter is less than, greater than, or not equal to the null hypothesis.
You can choose to create a two sample hypothesis test for proportion or mean. If you are creating one for a mean, you can either enter in the statistics neccessary for the samples or select the lists to represent the data. Then, simply indicate whether the difference in the population parameters is less than, greater than, or not equal to 0.
You can create a regression CI by selecting 2 lists from the data component. The test will generate a linear regression for your sample and will give the probability of the slope being greater than, less than, or not equal to 0.
This is the output of a 1 sample hypothesis test for a proportion
This is the output of a 2 sample hypothesis test for proportion
This is the output of a regression hypothesis tests