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ivolga24 [154]
3 years ago
9

Write 3•3•4.4.3.4 using exponents.

Mathematics
1 answer:
spayn [35]3 years ago
3 0

Answer:

3^3 x 4^3 = 91 :>

Step-by-step explanation:

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Find the median of the following set of numbers:<br> 3,12,4,6,8,5,4
natulia [17]

Answer:

el 5

Step-by-step explanation:

La mediana es el número intermedio de un grupo de números; es decir, la mitad de los números

Primero se acomodan de menor a mayor y luego ubicaras  el número que queda en medio

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The numbers on two consecutively numbered gym lockers have a sum of 141. What are the locker​ numbers?
Tamiku [17]
Divide 141 by 2, getting 70.5. Since 70.5 is halfway between two consecutive integers, 70 and 71, these are the locker numbers. (P.S. This method only works with odd numbers.) 70+71=141.
8 0
3 years ago
Can someone tell me what is the answer please
vesna_86 [32]

Answer:

The answer is C

Step-by-step explanation:

6 0
4 years ago
Read 2 more answers
(1 point) The cost of unleaded gasoline once followed an unknown distribution with a mean of $4.59 and a standard deviation of $
marin [14]

Answer:

a) unknown

b) 1.43% probability that the average price for 30 gas stations is less than $4.55.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 4.59, \sigma = 0.1

a) What's the approximate probability that the average price for 16 gas stations is over $4.69?

Sample size less than 30 and unknow distribution. Therefore, the central limit theorem cannot be applied and the answer is unknown.

b) Find the probability that the average price for 30 gas stations is less than $4.55.

Now n = 30, s = \frac{0.1}{\sqrt{30}} = 0.0183

This probability is the pvalue of Z when X = 4.55. So

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

By the Central Limit Theorem

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

Z = \frac{4.55 - 4.59}{0.0183}

Z = -2.19

Z = -2.19 has a pvalue of 0.0143

1.43% probability that the average price for 30 gas stations is less than $4.55.

5 0
4 years ago
Will someone help me with this one please?
Gnoma [55]

Answer:

Phil Swift here from flex tape

Step-by-step explanation:

7 0
4 years ago
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