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Pachacha [2.7K]
2 years ago
12

Rectangle ABCD is the same proportion as rectangle EFGH. The perimeter of

Mathematics
1 answer:
qwelly [4]2 years ago
3 0

Answer:

4in

Step-by-step explanation:

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Jake has $100 dollars in his wallet. He spends $15 at Tastee Sub and $10 at Wawa. As he is walking home, Jake finds a $20 bill o
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Answer: $75

Step-by-step explanation:

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3 years ago
You make $30,000.00 and your spouse makes $35,000.00. using the 20% range, calculate the least and greatest amount you spend on
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30,000 x 0.20 = $6,000 least amount

30,000 +35,000 = 65,000

65000 x 0.20 = $13,000 greatest amount

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3 years ago
The following confidence interval for the population proportion for how many U.S. adults do not get enough fruits and vegetables
Zielflug [23.3K]

Answer:

The interval is constructed at 93% confidence.

Step-by-step explanation:

Confidence interval concepts:

A confidence interval has two bounds, a lower bound and an upper bound.

A confidence interval is symmetric, which means that the point estimate used is the mid point between these two bounds, that is, the mean of the two bounds.

The margin of error is the difference between these two bounds, divided by 2.

Confidence interval of proportions concepts:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

The margin of error is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

In this problem, we have that:

2050 people, so n = 2050.

Lower bound: 0.878

Upper bound: 0.903

\pi = \frac{0.878 + 0.903}{2} = 0.8905

M = \frac{0.903 - 0.878}{2} = 0.0125

Confidence level:

We have to find z.

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.0125 = z\sqrt{\frac{0.8905*0.1095}{2050}}

0.0069z = 0.0125

z = \frac{0.0125}{0.0069}

z = 1.81

z = 1.81 has a pvalue of 0.965.

That is:

]1 - \frac{\alpha}{2} = 0.965

\frac{\alpha}{2} = 0.035

\alpha = 2*0.035

\alpha = 0.07

Finally

1 - \alpha = 1 - 0.07 = 0.93

The interval is constructed at 93% confidence.

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3 years ago
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