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blondinia [14]
2 years ago
8

Jessica spends $200 at a thrift shop.she spends $64 on rings and the rest on 4 equally priced bracelets which equation represent

s the scenario above
a. 4b=64+200
b.68b=200
c.64+4b=200
d.64b+4=200
Mathematics
1 answer:
Over [174]2 years ago
6 0

Answer: The answer is B. Have a nice day.

Step-by-step explanation: Plz make brainliest. (I only need 1 more to become an expert!)

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Find x<br><br> Need gelppppppppppp
igor_vitrenko [27]

Answer:

The Value of x is 10.

Step-by-step explanation:

Consider ABCD is a Parallelogram where

∠BCA = 43°

∠CBA = 98°

∠ACD = (2x+9)

To Find:

x = ?

Solution:

Triangle sum property:

In a Triangle sum of the measures of all the angles of a triangle is 180°.

In ΔABC

\angle ABC+\angle BCA+\angle CAB=180\\\\98+43+\angle CAB=180\\\therefore m\angle CAB =180-141=39\°

Now CD || BA         .......opposite sides of Parallelogram is parallel

\angle CAB=\angle ACD.........Alternate Angles are equal

Substituting the values we get

39=2x+19\\2x=20\\\\\therefore x=\dfrac{20}{2}=10\\\\\therefore x=10

The Value of x is 10.

6 0
2 years ago
64/72 in simplest form
Stells [14]
64=2^6, 72=2^3*3^2

gcd (64,72)=8
Therefore 64/8 =8
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gcd (8,9) =1
8,9 are relatively prime.
Thus, 64/72=8/9
4 0
2 years ago
123.456 RONDED TO THE NEAREST HUNDREDTH.
anzhelika [568]

123.456 RONDED TO THE NEAREST HUNDREDTH.

Answer:

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8 0
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Read 2 more answers
A door delivery florist wishes to estimate the proportion of people in his city that will purchase his flowers. Suppose the true
kvv77 [185]

Answer:

99.74% probability that the sample proportion will be less than 0.1

Step-by-step explanation:

I am going to use the binomial approximation to the normal 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 = 276, p = 0.06

So

\mu = E(X) = np = 276*0.06 = 16.56

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{276*0.06*0.94} = 3.9454

What is the probability that the sample proportion will be less than 0.1

This is the pvalue of Z when X = 0.1*276 = 27.6. So

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

Z = \frac{27.6 - 16.56}{3.9454}

Z = 2.8

Z = 2.8 has a pvalue of 0.9974

99.74% probability that the sample proportion will be less than 0.1

5 0
3 years ago
No links <br> 10pts<br> for answer 1 variables or values for answer 2 do not satisfy or satisfy
gulaghasi [49]

Answer:

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Step-by-step explanation:

6 0
2 years ago
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