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4 years ago

Simplify (7)(-6). need help

2 answers:

7 0

The answer is: - 42 because, 7 x 6 = 42. And since the 6 is next to a negative number, you will add a negative sign next to 42, and your final answer will be: "-42"

Please mark as brainliest answer

dexar [7]4 years ago

5 0

As simple as it can go is As it's multiplied out form, which is -42.

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3 years ago

The given amount converted to units?

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3 years ago

Express the given logarithm in terms of common logarithms. Then approximate its value to four decimal places.

zhannawk [14.2K]

Answer:

3.4594

Step-by-step explanation:

To change the base of a logarithm

• $log_{b}$ x = $\frac{log_{c}x }{log_{c}b }$

where c represents the new base

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3 years ago

Noah was assigned 64 cookies for the bake sale. He mad 125% of that number. 90% of the cookies he made were sold. How many of No

Mice21 [21]

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5 0

3 years ago

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

4 years ago