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IgorC [24]
3 years ago
9

Help me please!!!!!!!!!!!!!!!!!

Mathematics
1 answer:
iren [92.7K]3 years ago
5 0

Answer:

A. x^6

Step-by-step explanation:

z =  {y}^{2}  =  {( {x}^{3} )}^{2}  =  {x}^{3 \times 2}  =  {x}^{6}

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There was 420 hamburger and cheeseburgers. The cheeseburgers sold two times then the hamburger. How many hamburgers were sold
madam [21]
The answer is 140.

If there are 140 hamburgers sold, and there were 2x as many cheeseburgers sold, that adds up to 420.

140 x 2 = 280 (Cheeseburgers)
So there were 280 cheeseburgers sold.

280 (Cheeseburgers) + 140 (Hamburgers) = 420 altogether.

Hope this helps!
5 0
3 years ago
A recent survey found that 86% of employees plan to devote at least some work time to follow games during the NCAA Men's Basketb
trasher [3.6K]

Answer:

4.18% probability that less than 80% of this sample will devote work time to follow games

Step-by-step explanation:

Normal probability distribution

When the distribution is normal, we use 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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

In this question, we have that:

p = 0.86, n = 100

So

\mu = 0.86, s = \sqrt{\frac{0.86*0.14}{100}} = 0.0347

What is the probability that less than 80% of this sample will devote work time to follow games?

This is the pvalue of Z when X = 0.8. So

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

By the Central Limit Theorem

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

Z = \frac{0.8 - 0.86}{0.0347}

Z = -1.73

Z = -1.73 has a pvalue of 0.0418

4.18% probability that less than 80% of this sample will devote work time to follow games

7 0
3 years ago
? cm<br> 3 cm<br> 7 cm<br> 4 cm<br> 7 cm<br> Missing length
Ket [755]

Answer:

5 cm

7cm

Step-by-step explanation:

8 0
3 years ago
Witch is grater 3/4 or 11/16 ??
kow [346]
<h3>Hey there! </h3><h3>\frac{3}{4} → 0.75 → 0.75%</h3><h3>\frac{11}{16} → 0.6875 → 0.68% </h3><h3>So, the one that is GREATER is: \frac{3}{4} because 75% is bigger than</h3><h3> 68%</h3><h3>Good luck on your assignment and enjoy your day! </h3><h3>~LoveYourselfFirst:) </h3>
5 0
3 years ago
The standard deviation of the tap water data is 1.086. The standard deviation of the salt water data is 1.107. Which explains wh
bulgar [2K]
A) The two distributions are each nearly symmetric 

Correct on e2020
6 0
3 years ago
Read 2 more answers
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