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trapecia [35]
3 years ago
14

I need help! I already did the rest of my homework question...Im stuck on these two

Mathematics
2 answers:
Gennadij [26K]3 years ago
8 0

Answer:

4) angle 1 = 37 degrees

5) angle 2 m= 127 degrees

Step-by-step explanation:

4) angle 1 = 90 -53 = 37 degrees

5) angle 2 = 180 -53 = 127 degrees

boyakko [2]3 years ago
5 0
For angle 1, 180-53-90
Angle 2, 180-53
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Answer:

6.25 gm left

Step-by-step explanation:

Find the number of half lives in 26.3 years

   26.3 / 5.26 = 5 half lives

(1/2)  ^5   = 1/32 nd  of the original will be left

   1/32 * 200g = 6.25 gm left

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2 years ago
Mariana tried to drink a slushy as fast as she could. She drank the slushy at a rate of 4.5 milliliters per second. After 17 sec
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13.33333333333 minutes
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3 0
4 years ago
The ideal size of a first-year class at a particular college is 150 students. The college, knowing from past experiences that on
katen-ka-za [31]

Answer:

6.18% probability that more than 150 first-year students attend this college.

Step-by-step explanation:

We use the binomial approximation to the normal to solve this question.

For each item selected, there are only two possible outcomes. Either it is defective, or it is not. This means that we use concepts of the binomial probability distribution to solve this problem.

However, we are working with samples that are considerably big. So i am going to aproximate this binomial distribution to the normal.

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 = 450, p = 0.3

So

\mu = E(X) = np = 450*0.3 = 135

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{450*0.3*0.7} = 9.72

Approximate the probability that more than 150 first-year students attend this college.

This is 1 subtracted by the pvalue of Z when X = 150. So

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

Z = \frac{150 - 135}{9.72}

Z = 1.54

Z = 1.54 has a pvalue of 0.9382

1 - 0.9382 = 0.0618

6.18% probability that more than 150 first-year students attend this college.

7 0
4 years ago
Stan, a local delivery driver, is paid $3.50 per mile driven pus a daily amount of $75. On Monday, he is assigned a route that i
Alex Ar [27]

To find out how much Stan is paid a day, simply find out how many miles Stan drives per day, and multiply that with the amount Stan is paid per mile (in this case $3.50 per mile). Then, add that with the daily amount Stan earned (which is $75).

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Simply multiply $3.50 (per mile) with 30 (total number of miles driven), and that should equate to $105 earned for driving a total of 30 miles.

Then, add $105 (earned from driving 30 miles) to $75 (daily pay) and that equals $180.

Stan had been paid a total of $180 on Monday.

4 0
3 years ago
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