Answer:
Being p1 the proportion for people of ages 36-50 and p2 the proportion for people of ages 21-35, the null and alternative hypothesis will be:
Step-by-step explanation:
A hypothesis test on the difference of proportions needs to be performed for this case.
We have two sample proportions and we want to test if the true population proportions differ from each other, usign the information given by the sample statistics.
The claim is that the proportion of people of ages 36-50 who own homes is significantly greater than the proportin of people age 21-35 who own homes.
The term "higher" will define the alternative hypothesis, that is the hypothesis that represents what is claimed. The null hypothesis always include the equal sign, and will state that both proportions do not differ.
Being p1 the proportion for people of ages 36-50 and p2 the proportion for people of ages 21-35, the null and alternative hypothesis will be:
Answer:
E
I use Desmos graphing to solve this
^● ●^
The length of the rectangle is 100cm.
The breadth of the rectangle is 4cm.
The square encloses more area than the rectangle.
<h3>
What is the length of the rectangle?</h3>
The first step is to determine the area of the square.
Area of a square = length² = 50² = 2500 cm²
Area of a rectangle = length x width
length = area / width
2500 / 25 = 100cm
<h3>What is the breadth of the rectangle?</h3>
The first step is to determine the perimeter of the square.
Perimeter = 4 x length
4 x 5 = 20cm
Perimeter of a rectangle = 2(length + width)
breadth = (perimeter / 2) - length
(20 / 2) - 6
10 - 6 = 4cm
Area of the square = 5 x 5 = 25
Area of the rectangle = 6 x 4 = 24
To learn more about the perimeter of a rectangle, please check: brainly.com/question/3205029
#SPJ1
The solution would be like this for
this specific problem:
Given:
{0<span>, </span>1<span>, </span>2<span>, </span>3<span>, </span>4<span>}
</span>Success = 2, 3, and 4
Solution:
<span>Success = 3 numbers
Sample = 5
= 3 / 5</span>
= .6
= .6 * 100%
= 60%
So, the estimated probability of a success based from
the randomly generated list of numbers being used to simulate an event is 60%.
To add, the measure of the likelihood that an event
will occur is called probability<span> and it is
quantified as a number between 0 and 1, where, loosely speaking, 0 indicates
impossibility and 1 indicates certainty.</span>
