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o-na [289]
2 years ago
13

Jodie bought some shirts for $6 each Marge bought some shirts for $8 each the girls spent the same amount of money on shirts wha

t is the least amount they could have spent
Mathematics
2 answers:
Art [367]2 years ago
7 0
$28 because they both most likely got the same shirt of each price
strojnjashka [21]2 years ago
6 0
You have to find the LCM of both 6 and 8. The LCM of 6 & 8 is 24 because 8*3 is 24. 6*4 is 24, also. That is the LCM of both, so they both spent $24.
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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
Simplify log 4 - log 8
Leno4ka [110]

Answer:

-log2

Step-by-step explanation:

log4 - log8 = log2² - log2³

                    = 2log2 - 3log2

                    = (2 - 3)×log2

                    = (-1)×log(2)

                    = -log2

             

6 0
3 years ago
Help me solve this pleasee
tangare [24]
Because Angle A and B are supplementary they will ad up to 180 degrees.
the measure of angle A is 101 degrees
3 0
3 years ago
Please help me please I really need help
expeople1 [14]

Answer:

5%

Step-by-step explanation:

Multiply both numerator and denominator by 100. We do this to find an equivalent fraction having 100 as the denominator.

0.05 × 100/100

= (0.05 × 100) × 1/100 = 5/100

7 0
2 years ago
Read 2 more answers
Hey what's the answer<br>thanks. <br>​
k0ka [10]

Step-by-step explanation:

if b+c=0

b=-c

x^b=x^-c

so

1/[2(x^b)+1]

6 0
2 years ago
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