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vichka [17]
3 years ago
5

Factors of (1-x^2) answer fast please ​

Mathematics
1 answer:
MatroZZZ [7]3 years ago
5 0

Answer:

(−x−1)(x−1) or 1−x^2

Step-by-step explanation:

(1-x^2)

Rewrite 1-x^2 as 1^2-x^2. The difference of squares can be factored using the rule: a^2

−b^2=(a−b)(a+b).

(1−x)(1+x)

Reorder the terms.

(−x+1)(x+1)

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A battery has a lifetime that is approximately normally distributed with a mean of 600 hours and a standard deviation of 50 hour
miss Akunina [59]

Answer:

A. Your battery is likely defective since such poor performance is extremely unlikely.

Step-by-step explanation:

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.

If X is more than two standard deviations from the mean, it is considered an unlikely outcome.

In this question, we have that:

\mu = 600, \sigma = 50

Which of the following conclusions is the most appropriate given this information?

Lasted 400 hours, so X = 400.

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

Z = \frac{400 - 600}{50}

Z = -4

4 standard deviations from the mean, so unlikely.

So the correct answer is:

A. Your battery is likely defective since such poor performance is extremely unlikely.

3 0
3 years ago
Suppose we take two different random samples from the same population of test scores. The population mean and standard deviation
denis23 [38]

Answer:

The correct option is (i) I expect the confidence interval based on the sample of 64 data values to be more precise.

Step-by-step explanation:

Consider the provided information.

The sample size is inversely proportional to the standard error of the sample mean decreases. \sigma_M=\frac{\sigma}{N}

As the size increase the standard error of the sample mean decreases.

Hence, for greater precision select the confidence interval based on the greater sample of data.

Therefore, we expect the confidence interval based on the sample of 64 data values to be more precise.

The correct option is (i) I expect the confidence interval based on the sample of 64 data values to be more precise.

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Ratling [72]

Answer:

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