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rewona [7]
1 year ago
14

What did i do wrong here

Mathematics
1 answer:
Strike441 [17]1 year ago
3 0

Answer: Everything lol

Step-by-step explanation:

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I need help with this question asappp
kherson [118]
They both equal 1/x.
Start by breaking the radicand up into a product of known factors.
8 0
3 years ago
The mean life of a television set is 119119 months with a standard deviation of 1414 months. If a sample of 7474 televisions is
Pepsi [2]

Answer:

0.5034 = 50.34% probability that the sample mean would differ from the true mean by less than 1.1 months

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 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.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean

In this problem, we have that:

\mu = 119, \sigma = 14, n = 74, s = \frac{14}{\sqrt{74}} = 1.6275

What is the probability that the sample mean would differ from the true mean by less than 1.11 months?

This is the pvalue of Z when X = 119 + 1.1 = 120.1 subtracted by the pvalue of Z when X = 119 - 1.1 = 117.9. So

X = 120.1

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

By the Central Limit Theorem

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

Z = \frac{120.1 - 119}{1.6275}

Z = 0.68

Z = 0.68 has a pvalue of 0.7517

X = 117.9

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

Z = \frac{117.9 - 119}{1.6275}

Z = -0.68

Z = -0.68 has a pvalue of 0.2483

0.7517 - 0.2483 = 0.5034

0.5034 = 50.34% probability that the sample mean would differ from the true mean by less than 1.1 months

3 0
3 years ago
What expression is equivalent to 2^6 times 2^-4/ 2^7
777dan777 [17]
I believe it is 4^-5
2^6 (<span>2^-4/ 2^7)
=2^6(2^-4-+7)
=</span>2^6(2^-11)
=4^6-11
=4^-5
8 0
3 years ago
3 cm<br> 4 cm<br> 6 cm<br> Find the volume. Round to the nearest tenth if necessary.
ZanzabumX [31]

Answer:

72 cm squared

Step-by-step explanation:

3 x 4 x 6 = 72 cm squared

5 0
2 years ago
Read 2 more answers
Please help me out! And please show your work!!<br> |<br> |<br> |<br> v
Sedaia [141]
8/20 is your answer buddy
6 0
3 years ago
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