00:01
So, under an alternative hypothesis, native hypothesis states that h0 is, there is no significant difference between the four flavors of ice cream, there is no significance difference between four flavors of ice cream in terms of the number of people who prefer each flavor, who prefer each flavor.
00:59
Our h1 will be, we can say alternative hypothesis will be there is significant difference, there is a significant difference, significant difference between the four flavors of the ice cream, of ice cream in terms of the number of people who prefer each flavor.
01:36
Now, we need to calculate the expected frequency for each day based on the probabilities provided.
01:42
So ei, which is our expected frequency will be equal to total sample space or we can say total sample size divided by number of categories.
01:57
Now from the above table, we will substitute in the values.
02:07
So the number of categories is equal to number of categories, n is equal to 4.
02:19
So the test statistic, we will use the chi -square rule...