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3 years ago

Urgent Need Help! worth 100 points

Mathematics

1 answer:

Natali [406]3 years ago

4 0

the answer to your question is 4 times 6, 4 times 3 + 4 times 3

have a nice day

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Find the area of the triangle. 5 ft 8 ft

natima [27]

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Step-by-step explanation:

The formula for area is LxW, in this case it’s 5x8 which is 40.

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3 years ago

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Triangle ABC with vertices A(-4, 2), B(4,7), and

alex41 [277]

Step-by-step explanation:

A(-4,2)=A'(-4,-2)

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3 years ago

Solve BCD Round the answer to the nearest hundredth

lesya [120]

Answer:

Step-by-step explanation:

The measure of angle D can be found using the Interior Angle Sum of a Triangle.

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3 years ago

A half-century ago, the mean height of women in a particular country in their 20s was 64.7 inches. Assume that the heights of

Ainat [17]

Answer:

99.5% of all samples of 21 of today's women in their 20's have mean heights of at least 65.86 inches.

Step-by-step explanation:

We are given that a half-century ago, the mean height of women in a particular country in their 20's was 64.7 inches. Assume that the heights of today's women in their 20's are approximately normally distributed with a standard deviation of 2.07 inches.

Also, a samples of 21 of today's women in their 20's have been taken.

Let $\bar X$ = sample mean heights

The z-score probability distribution for sample mean is given by;

Z = $\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }$ ~ N(0,1)

where, $\mu$ = population mean height of women = 64.7 inches

$\sigma$ = standard deviation = 2.07 inches

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

Now, Probability that the sample of 21 of today's women in their 20's have mean heights of at least 65.86 inches is given by = P( $\bar X$ $\geq$ 65.86 inches)

P( $\bar X$ $\geq$ 65.86 inches) = P( $\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }$ $\geq$ $\frac{65.86-64.7}{\frac{2.07}{\sqrt{21} } }$ ) = P(Z $\geq$ -2.57) = P(Z $\leq$ 2.57)