Question 1: Which of the following would be a violation of the Large Enough Condition? (a) The population is Normal and the sample size is 100. (b) The population is Normal and the sample size is 10. c) The population is somewhat skewed and the sample size is 100. (d) The population is somewhat skewed and the sample size is 10.
Permutations and Combinations
If there are 5 dishes, they can be relished in any order at a time. In permutation, it should be in a particular order. In combination, the order does not matter. Take 3 letters a, b, and c. The possible ways of pairing any two letters are ab, bc, ac, ba, cb and ca. It is in a particular order. So, this can be called the permutation of a, b, and c. But if the order does not matter then ab is the same as ba. Similarly, bc is the same as cb and ac is the same as ca. Here the list has ab, bc, and ac alone. This can be called the combination of a, b, and c.
Counting Theory
The fundamental counting principle is a rule that is used to count the total number of possible outcomes in a given situation.
Questions 1,2,3,4

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