Use a t-distribution and the given matched pair sample results to complete the test of the given hypotheses. assume the results come from random samples, and if the sample sizes are small, assume the underlying distribution of the differences is relatively normal. assume that differences are computed using d=x1-x2. test h0 : μd=0 vs ha : μd≠0 using the paired difference sample results x¯d=9.53, sd=10.4, nd=25.

Step-by-step explanation:

Given that we can Assume the results come from random samples, and if the sample sizes are small, assume the underlying distribution of the differences is relatively normal. Assume that differences are computed using d=x1-x2. Test H0 : μd=0 vs Ha : μd≠0

Here test statistic = Mean difference ./std error

= Mean difference/(std dev/(sqrt n))

=

df =24

p value = 0.000121

Since p < alpha, we reject null hypothesis.

The two means are significantly different.

3x - 2y + 2 = 0 → -2y + 2 = -3x → -2y = -3x - 2 → y = x + 1

x - y + 3 = 0 → -y + 3 = -x → -y = -x - 3 → y = x + 3

These two equations have the same slope but different y-intercepts so they are parallel lines. (aka inconsistent).

Inconsistent, (0, 1), (0, 3)