Three years ago, the mean price of an existing single-family home was $243761. a real estate broker believes that existing home prices in her neighborhood are higher. (a) determine the null and alternative hypotheses. (b) explain what it would mean to make a type i error. (c) explain what it would mean to make a type ii error. (a) state the hypotheses.

Answer with Step-by-step explanation:

Since we have given that

Mean price of an existing single family home = $243761

So, the hypothesis:

Type I error is a error in which null hypothesis is correct and actual but it gets rejected.

It means mean price is exactly $243761, but it is proved that mean price would be higher than $246761.

Type II error is a error in which null hypothesis is not correct but inspite of  that it gets accepted.

So, here, mean price is  higher than $243761 but it is proved by calculation that mean price is equal to $243761.

answer: 230 miles ( vote ! )

step-by-step explanation:

180.39 minus 17.99 equals 162.4

then divide 162.4 by .80 to get 230

i think it is everything has to equal 180 so, if i correct 4=c. 6=d. 8=a. 7=b. and the last question would be c. because they are parallel lines and they are congruent.

step-by-step explanation:

the reason everything has to equal to 180 is because that is how it works. i'm guessing that is its rule. 4 and 8 are congruent and parallel so, that would be 30+30 because they have the same number. it would equal 60. 6 and 7 are congruent and parallel so, that would be 30+30 because they have the same number. it would equal 60. 60+60 is 180. so, now you have your answer