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The percent of owns home is 65.51% and percent of rents home is 34.48% if the total number of US households is 116.
<h3>What is percentage?</h3>It's the ratio of two integers stated as a fraction of a hundred parts. It is a metric for comparing two sets of data, and it is expressed as a percentage using the percent symbol.
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From the table:
Total number of US households = 71+13+5+27 = 116
Owns home = 71+5 = 76
Percent of owns home = (76/116)×100 = 65.51%
Rents home = 13+27 = 40
Percent of rents home = (40/116)×100 = 34.48%
Thus, the percent of owns home is 65.51% and percent of rents home is 34.48% if the total number of US households is 116.
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Answer:X=54.5°
Step-by-step explanation:
Answer:
68% of buyers paid between $147,700 and $152,300.
Step-by-step explanation:
We are given that prices of a certain model of a new home are normally distributed with a mean of $150,000.
Use the 68-95-99.7 rule to find the percentage of buyers who paid between $147,700 and $152,300 if the standard deviation is $2300.
<u><em>Let X = prices of a certain model of a new home</em></u>
SO, X ~ Normal()
The z score probability distribution for normal distribution is given by;
Z = ~ N(0,1)
where, = population mean price = $150,000
= standard deviation = $2,300
<u>Now, according to 68-95-99.7 rule;</u>
Around 68% of the values in a normal distribution lies between and
.
Around 95% of the values occur between and
.
Around 99.7% of the values occur between and
.
So, firstly we will find the z scores for both the values given;
Z = =
= -1
Z = =
= 1
This indicates that we are in the category of between and
.
SO, this represents that percentage of buyers who paid between $147,700 and $152,300 is 68%.