In what statistical measurement would you be most interested when considering housing prices in a particular city?

Mathematics

1 answer:

Sophie [7]1 year ago

7 0

Answer:

Median

Explanation:

Real estate prices are virtually usually biased to the right. If we estimate the price of a typical home in a city at $500,000. We would have no trouble locating properties for $2 million and $3 million, and perhaps even some $5 or $6 million residences. However, you won't find houses for under $1.5 million. Because of this, the mean value is pulled toward the high end more than the median value.

You might be interested in

The ratio of boys to girls in a group is 3:1. If there are 52 more boys than girls, work out how many people there are in total.

UkoKoshka [18]

Answer: 104 (Good chance its wrong)

Step-by-step explanation: if the ratio is 3:1 then there's 3 times as much boys as girls. if there are 52 more boys then that means 52 is twice as much as the number of girls so if we divide is by 2 we get 26. if we add 26 with 52 we get 78 and if we divide 78 by 3 we get 26. so I believe there are 26 girls and 78 boys. 26+78=104

I believe 104 is the answer but there's a good chance i'm wrong.

7 0

3 years ago

A study conducted by the Center for Population Economics at the University of Chicago studied the birth weights of 623 babies bo

Margaret [11]

Answer:

The estimation for the number of newborns who weighed between 1724 grams and 5172 grams is 595.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 3448, \sigma = 862$