How do you enter data into StatKey?
How do you enter data into StatKey?
Getting Data into StatKey
- Type over the existing data. This works well for a small dataset, when you want to edit/add/delete a few cases from the existing data, or the “data” consists of counts from a frequency table.
- Copy/paste data from another source.
- Enter count(s) and sample size(s).
- Upload a file.
What is StatKey?
StatKey (www.lock5stat.com/StatKey) is free online technology created by the Lock family, designed to help introductory students understand and easily implement bootstrap intervals and randomization tests.
How do you find the p value on StatKey?
To get the p-value, I then replace the right critical number that StatKey gave me, 0.56, with my sample proportion, 0.48. According to StatKey, the p-value is 0.474. In a two tail test, the p-value is the sum of both tails.
What is the p-value on StatKey?
0.474
According to StatKey, the p-value is 0.474. In a two tail test, the p-value is the sum of both tails. Interpretation of the p-value: The chance of finding another sample with a proportion higher than 0.48 or lower than 0.36, assuming that the actual proportion should be 0.42, is about 47.4%.
How do you find the confidence interval on StatKey?
The default in StatKey is to construct a 95% confidence interval. You can change the confidence level by clicking the “0.950” in the center and entering the confidence level you want. For example, for a 90% confidence interval you would enter “0.90.” Below is a short video demonstrating this.
What is a bootstrap distribution?
Bootstrapping is a resampling procedure that uses data from one sample to generate a sampling distribution by repeatedly taking random samples from the known sample.
How do you find the p-value on StatKey?
How do you find the p-value from a histogram?
You can get a sense of this from a histogram by looking at how tall the peak on the left is: the taller the peak, the more p-values are close to 0 and therefore significant. Similarly, the “depth” of the histogram on the right side shows how many of your p-values are null.
