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svet-max [94.6K]
3 years ago
15

What is the upper and lower bound of 0.82

Mathematics
2 answers:
In-s [12.5K]3 years ago
8 0
Whatttt huh didnt ybderstand has
MrRa [10]3 years ago
6 0

Answer:

What ?

Step-by-step explanation:

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Based on historical data, your manager believes that 26% of the company's orders come from first-time customers. A random sample
scoundrel [369]

Answer:

\hat p \sim N( p, \sqrt{\frac{p (1-p)}{n}})

And we can use the z score formula given by:

z = \frac{\hat p -\mu_p}{\sigma_p}

And if we find the parameters we got:

\mu_p = 0.26

\sigma_p = \sqrt{\frac{0.26(1-0.26)}{158}} = 0.0349

And we can find the z score for the value of 0.4 and we got:

z = \frac{0.4-0.26}{0.0349}= 4.0119

And we can find this probability:

P(z>4.0119) = 1-P(z

And if we use the normal standard table or excel we got:

P(z>4.0119) = 1-P(z

Step-by-step explanation:

For this case we have the following info given:

p = 0.26 represent the proportion of the company's orders come from first-time customers

n=158 represent the sample size

And we want to find the following probability:

p(\hat p >0.4)

And we can use the normal approximation since we have the following two conditions:

1) np = 158*0.26 = 41.08>10

2) n(1-p) = 158*(1-0.26) = 116.92>10

And for this case the distribution for the sample proportion is given by:

\hat p \sim N( p, \sqrt{\frac{p (1-p)}{n}})

And we can use the z score formula given by:

z = \frac{\hat p -\mu_p}{\sigma_p}

And if we find the parameters we got:

\mu_p = 0.26

\sigma_p = \sqrt{\frac{0.26(1-0.26)}{158}} = 0.0349

And we can find the z score for the value of 0.4 and we got:

z = \frac{0.4-0.26}{0.0349}= 4.0119

And we can find this probability:

P(z>4.0119) = 1-P(z

And if we use the normal standard table or excel we got:

P(z>4.0119) = 1-P(z

8 0
3 years ago
One week has 7 days.How many weeks do 1,230 days make?What does the remainder mean?
Pavel [41]

Answer:

1,230 Days = 175.7142 Weeks = 175 Weeks and 5 Days

3 0
3 years ago
Read 2 more answers
A credit card contains 16 digits between 0 and 9. However, only 100 million numbers are valid. If a number is entered randomly,
marusya05 [52]

Answer:

P(valid) = 1 * 10^{-8}

Step-by-step explanation:

Let us first find the number of possible credit card numbers that can be formed with the numbers 0 - 9.

We want to form a 16 digit number out of 10 digits, so, we have:

N = 10^{16}

There are 10^{16} numbers that can be formed.

There are only 100 million valid numbers (100 * 10^6 = 10^8). Let the number of valid numbers be n.

Therefore, the probability of picking a number that is valid is:

P(valid) = n / N

P(valid) = 10^{8} / 10^{16}\\\\P(valid) = 1 * 10^{-8}

8 0
3 years ago
Kyle entered to run in a 5K (5 kilometers) race. He wants to figure out how many miles are in the race. If there are 1000 meters
tekilochka [14]

Answer:

3.11 miles

Step-by-step explanation:

Hello!

First we have to get the distance into meters

The problem says there are 5 kilometers in a race and 1000 meters in a kilometer so 5 kilometers is 5000 meters

Now we turn the meters into miles

It says a mile is about 1609.34 so we can divide the amount of meters by how many meters are in a mile

5000/1609.34 = 3.106

Round to the nearest tenth

3.106 ⇒ 3.11

The answer is 3.11 miles

Hope this helps!

8 0
4 years ago
Why is this incorrect? Someone PLEASE EXPLAIN​
otez555 [7]

66.1% =  0.661

this means it should be second moving everything down

hope i helped

8 0
3 years ago
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