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3 years ago

NOT A MATH QUESTION!!! JUST A LIFE QUESTION....

1 answer:

6 0

Monday- a. Red shirt, blue pants, white accesories b. Blue shirt, white pants, red assesories c. switch around a. and b.

Tuesday- (Not sure what you were like as a kid) but things I would suggest would be maybe be a tutu (if female), ruffles on shirts, Colorful shirts with lettering, colorful leggings, candy bracelets/ necklaces maybe?

Wednesday- (Don't know what decade day means) Maybe like oversized t-shirts/ hoodies, pastel, etc. probably anything to do with the 21st century

Thurday- Team t-shirts (if you have those), Black pants/shirt with red pants/shirt, you could put face paint with red and black under your eyes, Black and red tutus (sorry for so many tutu ideas) etc. etc.

Friday- If you don't like dresses than i'm guessing it means church clothes so try that domain maybe?

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3 years ago

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2 years ago

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3 years ago

Read 2 more answers

in the unted states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches. If 16

yaroslaw [1]

Answer:

Probability that their mean height is less than 68 inches is 0.0764.

Step-by-step explanation:

We are given that in the united states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches.

Also, 16 men are randomly selected.

Let $\bar X$ = sample mean height

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 = 69 inches

$\sigma$ = population standard deviation = 2.8 inches

n = sample of men = 16

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.

So, probability that the mean height of 16 randomly selected men is less than 68 inches is given by = P( $\bar X$ < 68 inches)

P( $\bar X$ < 68 inches) = P( $\frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }$ < $\frac{68-69}{\frac{2.8}{\sqrt{16} } }$ ) = P(Z < -1.43) = 1 - P(Z $\leq$ 1.43)

= 1 - 0.9236 = 0.0764

Now, in the z table the P(Z x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.43 in the z table which has an area of 0.92364.

Therefore, probability that their mean height is less than 68 inches is 0.0764.

3 0

3 years ago