The expected frequencies are determined
false
from random sampling.
true
theoretically based on the distribution in question.
theoretically based on the distribution in question
The Chi Square statistic is the
false
average squared difference between observed and expected.
Click the qqqSampleqqq button and see which column total equals Chi Square.
true
sum of (expected - observed)^2/expected.
false
sum of (expected - observed)^2.
Click the qqqSampleqqq button and see which column total equals Chi Square.
sum of (expected - observed)^2
When a normal distribution is sampled from, the Chi Square values for a test of deviations from a uniform distribution will be
false
lower than a test for deviations for a normal distribution.
Click the qqqSampleqqq button and see how the two Chi Squares compare.
true
higher than a test for deviations for a normal distribution.
sum of (expected - observed)^2
When a normal distribution is sampled from, the Chi Square values for a test of deviations from a normal distribution will
false
not be significant.
Click the qqqSampleqqq button many times (at least 30 times) and see if it is ever significant.
true
usually not be significant.
false
usually be significant.
Click the qqqSampleqqq button many times and how often it is significant.
A significant result will occur, on average, 1/20 times when the significance level is 0.05.
The expected frequency for each of the 10 categories for the uniform distribution is 10. If the true distribution is uniform then one of the observed frequencies to be 6 or lower
true
fairly often.
false
very rarely.
Set the distribution to qqqUniformqqq and click the qqqSampleqqq button many times. Observe how often one of the observed frequencies for the Uniform Distribution is 6 or lower.
sum of (expected - observed)^2