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3 years ago

14

A step has a height of 6 inches. A ramp starts 5 feet away from the base of the step, making a 5.7° angle with the ground. What

can you say about the angle the ramp would make with the ground if the ramp starts closer to the step?

1 answer:

wariber [46]3 years ago

8 0

Answer: i believe in c but it could be any of em im super sorry if you get it wrong though like seriously sorry

Step-by-step explanation:

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40 divided [24-4 x (2+3)]

777dan777 [17]

$\frac{40}{24 - 4 * (2 + 3)} =\ \textgreater \ 
 \frac{40}{20 * (5)} =\ \textgreater \ 
 \frac{40}{100}$

Final answer .40

3 0

3 years ago

4. Janelle has recently been hired for the job

kozerog [31]

0.44 / (0.06 + 0.09) = 0.44 / 0.15 = 2.93....about 3 hrs

3 0

3 years ago

A and B are two events.

maria [59]

Answer:

0.8

Step-by-step explanation:

We can solve P(A or B) by using the following:

$P(AorB)=P(A)+P(B)-P(AandB)$

Since we know P(A) = 0.6, P(B) = 0.3 and P(A and B) = 0.1 we obtain:

$P(AorB)=0.6+0.3-0.1=0.8$

4 0

4 years ago

3.30 Survey response rate. Pew Research reported in 2012 that the typical response rate to their surveys is only 9%. If for a pa

Artist 52 [7]

Answer:

0% probability that at least 1,500 will agree to respond

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

$E(X) = np$

The standard deviation of the binomial distribution is:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .

In this problem, we have that:

$n = 15000, p = 0.09$

So

$\mu = E(X) = np = 15000*0.09 = 1350$

$\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{15000*0.09*0.91} = 35.05$

What is the probability that at least 1,500 will agree to respond

This is 1 subtracted by the pvalue of Z when X = 1500-1 = 1499. So

$Z = \frac{X - \mu}{\sigma}$

$Z = \frac{1499 - 1350}{35.05}$

$Z = 4.25$

$Z = 4.25$ has a pvalue of 1.

1 - 1 = 0

0% probability that at least 1,500 will agree to respond

6 0

4 years ago

What is 12 inches in length

hjlf

Here is ur answer

30.48 centimeters

6 0

3 years ago

Read 2 more answers