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Softa [21]
2 years ago
6

The function, f(x), is plotted below.

Mathematics
2 answers:
Eduardwww [97]2 years ago
5 0

Answer:

-2

Step-by-step explanation:

Shalnov [3]2 years ago
4 0

Answer:

-2

Step-by-step explanation:

Determining the limit from a graph edge

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Steven wakes up for school at 6:30 in the morning. if school starts at 8:00 am, how long does he have from the time he wakes up
andrew11 [14]
Steven has 1 and a half hour until school starts
6 0
3 years ago
Suppose 42% of the population has myopia. If a random sample of size 442 is selected, what is the probability that the proportio
sineoko [7]

Answer:

0.7994 = 79.94% probability that the proportion of persons with myopia will differ from the population proportion by less than 3%.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

Suppose 42% of the population has myopia.

This means that p = 0.42

Random sample of size 442 is selected

This means that n = 442

Mean and standard deviation:

\mu = p = 0.42

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.42*0.58}{442}} = 0.0235

What is the probability that the proportion of persons with myopia will differ from the population proportion by less than 3%?

Proportion between 0.42 + 0.03 = 0.45 and 0.42 - 0.03 = 0.39, which is the p-value of Z when X = 0.45 subtracted by the p-value of Z when X = 0.39.

X = 0.45

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

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{0.45 - 0.42}{0.0235}

Z = 1.28

Z = 1.28 has a p-value of 0.8997

X = 0.39

Z = \frac{X - \mu}{s}

Z = \frac{0.39 - 0.42}{0.0235}

Z = -1.28

Z = -1.28 has a p-value of 0.1003

0.8997 - 0.1003 = 0.7994

0.7994 = 79.94% probability that the proportion of persons with myopia will differ from the population proportion by less than 3%.

7 0
3 years ago
PLEASE HELP WILL GIVE BRAINLIEST
saveliy_v [14]
S=r*theta where s is arc length and the r is radius and theta is in RADIANS ONLY!! If you use degrees this formula does not work.

So we have a arc length of 38.485ft and a radius of 7. So rearranging the formula for theta, we get;

theta=(38.485)/(7)= 5.498radians then to convert to degrees if needed just take;

5.498rad*(180/pi)= 315deg
4 0
3 years ago
Is my answer correct ??
serious [3.7K]

Answer:

it is correct indeed,

Step-by-step explanation:

quick google search says so

3 0
2 years ago
Read 2 more answers
What is the best estimate for 56.23 - 45.9?<br> A. 9<br> B. 10<br> C. 11<br> D. 15
DIA [1.3K]

Answer:

10 Letter B

Step-by-step explanation:

56.23 rounds down to 56 and 45.9 rounds up to 46. So 56 - 46 = 10

5 0
2 years ago
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