Your firm will base some expensive decisions on the results of your hypothesis test, so your boss wants to have a high standard of evidence for rejecting the null hypothesis. What should you do? A. Throw out observations that look suspicious
B. Increase the significance level to 10%
C. Reduce the significance level to 1%
D. Keep the significance level the same but collect more data

D. Keep the significance level the same but collect more data

Step-by-step explanation:

The significance level is the probability of rejecting the null hypothesis when it is true.  For example, a significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference.  This significance level is usually established initially and does not need to be changed.

But, you can collect more data to gain a high standard of evidence for rejecting the null hypothesis.  More data gives more evidence and leads to a result that is not attributed to chance, thus, proving that the result is statistically significant.

b

step-by-step explanation:

answer:   the paragraph proof is mentioned below.

step-by-step explanation:

given: in a δxwy where

such that, ∠wzx ≅ ∠yzx and zw≅zy

we have to prove that: segment zx is a perpendicular bisector of segment wy.

prove: since, zw≅zy ⇒ ∠wzy is a supplementary angle.

then, ∠wzy= 180°

⇒∠wzx + ∠yzx = 180° ( because xz divides ∠wzy into two parts)

but, ∠wzx ≅ ∠yzx ( given)

⇒∠wzy+∠wzy=180° ( by substitution)

⇒2∠wzy=180°

⇒∠wzy=90°

⇒∠wzy=∠yzx =90°

therefore, xz⊥wy where wz=zy

⇒zx is a perpendicular bisector of wy.