Housing prices in a country where 25% of the houses cost below $350,000, 50% of the houses cost below $450,000, 75% of the houses cost below $1,000,000 and there are a meaningful number of houses that cost more than $6,000,000. the distribution is expected to be:

Housing prices in a country where 25% of the houses cost below $350,000, 50% of the houses cost below $450,000, 75% of the houses cost below $1,000,000 and there are a meaningful number of houses that cost more than $6,000,000. The distribution is expected to be:

The distribution is expected to be right skewed.

Because the 50% of the houses cost below $450,000, which means the median house costs is approximately $450,000. And we see there are meaningful number of houses that cost more than $6,000,000. Which clearly indicates that the data will be right skewed.

In the right skewed distribution, the mean is greater than median and median is greater than mode. A right-skewed distribution has a long right tail. Right-skewed distributions are also called positively-skewed distributions there is a long tail in the positive direction on the number line.

up

step-by-step explanation:

the orientation of the parabolas can easily be found by analysing the power of x and y and their signs. if x is squared , parabola opens up and also if its coefficient is negative it opens down. if y is squared , the parabola opens right and also if its coefficient is negative it opens left. however in order to do the above analysis our equation must be in standard form .

our parabola is

which is not standard form of any parabola . hence we square on both hand side and convert it into standard form.

hence we see that x is squared and its coefficient is non negative . there for it opens up.

answer: h

step-by-step explanation: