Matched Pairs.In Exercises 5–8, use the sign test for the data consisting of matched pairs.

Speed Dating: Attractiveness Listed below are “attractiveness” ratings (1 = not attractive; 10 = extremely attractive) made by couples participating in a speed dating session. The listed ratings are from Data Set 18 “Speed Dating”. Use a 0.05 significance level to test the claim that there is a difference between female attractiveness ratings and male attractiveness ratings.

Rating of Male by Female	4	8	7	7	6	8	6	4	2	5	9.5	7
Rating of Female by Male	6	8	7	9	5	7	5	4	6	8	6	5

The two samples of data are given ratings of male attractiveness and female attractiveness.

The sign test belongs to the non-parametric (or distribution-free) category used to test the claim of difference between male and female attractiveness ratings.

Null hypothesis: There is no difference between male and female attractiveness ratings.

Alternative hypothesis: There is a difference between male and female attractiveness ratings.

The test is two-tailed.

If the male rating value is greater than the female rating, the sign of difference is positive.

If the male rating value is less than the female rating, the sign of difference is negative.

If the value of the Male rating is equal to the Female rating, the difference is zero.

The sign of the difference table is as follows:

The number of positive signs is equal to 5.

The number of negative signs is equal to 4.

The number of ties is equal to 3.

The sample size (n) is equal to 12.

Since n is less than 25, the test statistic value (x) is the number of times the less frequent sign occurs.

The less frequent sign is the negative sign, and it occurs four times.

Thus, x = 4.

From Table A-7, the critical value of x for n=12 and\(\alpha \)=0.05 for a two-tailed test equals 2.

Since the calculated value of x equal to 2 is greater than the critical value of 1, the null hypothesis is failed to reject.

There is not enough evidence to conclude that there is a difference between female and male attractiveness ratings.