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.

in the attachment.   i didn't see your choices.   the word which means there is choices.

step-by-step explanation:

(x,y)

x tells you how much left or right you go from the origin

y tells you how much down or up you go from the origin

so for example (-3,2), you go left 3 and up twice. i denoted which of the ordered pairs is which in my graph.