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Stolb23 [73]
2 years ago
7

2 in

Mathematics
1 answer:
pochemuha2 years ago
6 0

Answer:

A

Step-by-step explanation:

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Please help me out and with work included
irina1246 [14]
Hope that makes sense


3 0
2 years ago
A construction worker has 1,032 nails. He needs to put them in containers with 12 in each container. How many containers will he
miv72 [106K]

Answer:

86

Step-by-step explanation:

1,032 ÷ 12 = 86

86 containers would be needed.

4 0
2 years ago
The Town of Hertfordshire clerk knows that 23% of dogs in the town have completed emotional support training. Hertfordshire plan
Nataly_w [17]

Answer:

95.64% probability that under 30% of the dogs are emotional support trained

Step-by-step explanation:

For each dog, there are only two possible outcomes. Either they have completed emotional support training, or they have not. So we use 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:

\mu = E(X) = np = 100*0.23 = 23

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{100*0.23*0.77} = 4.21

What is the probability that under 30% of the dogs are emotional support trained?

30% of 100 is 0.3*100 = 30

So this is the pvalue of Z when X = 30.

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

Z = \frac{30 - 23}{4.1}

Z = 1.71

Z = 1.71 has a pvalue of 0.9564.

So there is a 95.64% probability that under 30% of the dogs are emotional support trained

5 0
3 years ago
Which best represents the center of the data set below ? <br> mean median range mode
enyata [817]

Answer:{}

B. Median

Their is no real explanation.

7 0
3 years ago
Read 2 more answers
Factor completely, then place the answer in the proper location on the grid. 6x ^2 - 3x - 30
seraphim [82]
Factor out the GCF first
3(2x² - x - 10)
3(2x - 5)(x + 2)
3 0
3 years ago
Read 2 more answers
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