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4 years ago

The inverse of y= -1/10x+1/2

1 answer:

4 0

To find the inverse of a function you need to isolate the x
$y = - \frac{x}{10} + \frac{1}{2} \\ y - \frac{1}{2} = \frac{ - x}{10} \\ 10y - 5 = - x \\ - 10y + 5 = x$
after you are done replace every x with y and every y with x (it's optional, i personaly don't do it but you need to do it if your teacher tells you so):
-10x+5=y

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Let ∠D be an acute angle such that cosD=0.33. Use a calculator to approximate the measure of ∠D to the nearest tenth of a degree

Gelneren [198K]

Answer:

70.7 degrees

Step-by-step explanation:

6 0

3 years ago

The actual distance between Apple Street and Pear Road is 8 miles. On a map, the distance is 3.5 inches. What proportion can you

andrew11 [14]

Answer:

3.5in/1in=?/8miles

Step-by-step explanation:

because if you multiply 3.5x8miles you end up with ## and then you divide that with # and you get this answer:)

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3 years ago

Read 2 more answers

Please help for number 2 :/

hoa [83]

Answer:

25.4

Step-by-step explanation:

the answer is 25.4

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3 years ago

Daniel had $25 to spend at the fair. If the admission to the fair is $4 and the rides cost $1.50 each, what is the greatest numb

mote1985 [20]

25= 1.50x+4
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3 years ago

Read 2 more answers

A company makes auto batteries. They claim that of their LL70 batteries are good for months or longer. Assume that this claim is

Katen [24]

Answer:

The probability that the sample proportion is within 0.03 of the population proportion is 0.468.

Step-by-step explanation:

The complete question is:

A company makes auto batteries. They claim that 84% of their LL70 batteries are good for 70 months or longer. Assume that this claim is true. Let p^ be the proportion in a random sample of 60 such batteries that are good for 70 months or more. What is the probability that this sample proportion is within 0.03 of the population proportion? Round your answer to two decimal places.

Solution:

According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.

The mean of this sampling distribution of sample proportion is:

$\mu_{\hat p}=p\\$

The standard deviation of this sampling distribution of sample proportion is:

$\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}$

The information provided is:

$p=0.84\\n=60$

As the sample size is large, i.e. <em>n</em> = 60 > 30, the Central limit theorem can be used to approximate the sampling distribution of sample proportion of LL70 batteries that are good for 70 months or longer.

Compute the probability that the sample proportion is within 0.03 of the population proportion as follows:

$P(-0.03$

Thus, the probability that the sample proportion is within 0.03 of the population proportion is 0.468.

8 0

3 years ago