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Yakvenalex [24]
3 years ago
8

Can someone help me with my math my teacher is getting on my nerves

Mathematics
2 answers:
zysi [14]3 years ago
5 0

Answer:

yes I can

Step-by-step explanation:

ExtremeBDS [4]3 years ago
5 0

Answer:

What do you need help with??

Step-by-step explanation:

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Four equivalent expressions of 32+48
Misha Larkins [42]


32+48 = 80

Four equivalent expressions are:

       40+40 = 80

       20+60 = 80

       10+70 = 80

       30+50 = 80

4 0
3 years ago
What is the distributive property of 4 × 14
xxTIMURxx [149]
4x10+4x4 is an example
6 0
3 years ago
On the xy-plane, the graph of function f has x-intercepts at -3, -1, and 1. which of the following could define f?
vekshin1
X intercept is when y=0
or f(x) = 0
set the f(x)'s to 0
your answer is C
x-1=0 x+1=0  x+3=0
so x= -3, -1, and 1
7 0
3 years ago
20% of US High School teens vape. A local High School has implemented campaigns to reduce vaping among students and believes tha
zaharov [31]

Answer:

10.93% probability of observing 51 or fewer vapers in a random sample of 300

Step-by-step explanation:

I am going to use the normal approximation to the binomial to solve this question.

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 = 300, p = 0.2

So

\mu = E(X) = np = 300*0.2 = 60

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{300*0.2*0.8} = 6.9282

What is the approximate probability of observing 51 or fewer vapers in a random sample of 300?

Using continuity corrections, this is P(X \leq 51 + 0.5) = P(X \leq 51.5), which is the pvalue of Z when X = 51.5 So

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

Z = \frac{51.5 - 60}{6.9282}

Z = -1.23

Z = -1.23 has a pvalue of 0.1093.

10.93% probability of observing 51 or fewer vapers in a random sample of 300

4 0
3 years ago
The rule (x, 3/4y) is applied to a polygon. Is the image similar to the original polygon? Explain.
Mnenie [13.5K]
Yes.  The new polygon is 3/4 the size of the old one.
5 0
4 years ago
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