84 people take a driving test.

1 answer:

4 0

Answer: The probability that you select a women who passes is 1/2.

First, let's look at the men. 21 of the 84 test takers were men. If the ratio is 5:2 for failing. Then, 15 failed and 6 passes.

Second, let's look at the women. 63 of the test takers were women. If double the number passed, then 42 passed and 21 failed.

The chances that a random person was a women who passes is 42 out of 84 or 1/2.

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WILL GIVE BRAINLIEST

levacccp [35]

Answer:

a. $5^{2} x^{3}$

b. $8^{3}$

c. $4^{3} x^{4}$

Step-by-step explanation:

a. $5^{2} x^{3}$

b. $8^{3}$

c. $4^{3} x^{4}$

5 0

2 years ago

The population standard deviation for the temperature of beers found in Scooter's Tavern is 0.26 degrees. If we want to be 90% c

siniylev [52]

Answer:

19 beers must be sampled.

Step-by-step explanation:

We have that to find our $\alpha$ level, that is the subtraction of 1 by the confidence interval divided by 2. So:

$\alpha = \frac{1 - 0.9}{2} = 0.05$

Now, we have to find z in the Z-table as such z has a p-value of $1 - \alpha$ .

That is z with a pvalue of $1 - 0.05 = 0.95$ , so Z = 1.645.

Now, find the margin of error M as such

$M = z\frac{\sigma}{\sqrt{n}}$

In which $\sigma$ is the standard deviation of the population and n is the size of the sample.

The population standard deviation for the temperature of beers found in Scooter's Tavern is 0.26 degrees.

This means that $\sigma = 0.26$

If we want to be 90% confident that the sample mean beer temperature is within 0.1 degrees of the true mean temperature, how many beers must we sample?

This is n for which M = 0.1. So

$M = z\frac{\sigma}{\sqrt{n}}$

$0.1 = 1.645\frac{0.26}{\sqrt{n}}$