5y=15/4x+25<br>1 solution, many solutions, or infinite solutions

Is (x + 2) a factor of x3 - x2 - X-2?

erastova [34]

Answer:

No?

Step-by-step explanation:

I'm not actually sure I just asked the same question

7 0

3 years ago

14. 7 points and brainliest answer if you get it right

prohojiy [21]

https://www.udemy.com/penetration-testing/?matchtype=bb&utm_medium=udemyads&utm_term=_._pl_%7Bplacement%7D_._pd_%7BProductId%7D_._ti_kwd-76072612376891:loc-190_._kw_ethical%20hacking%20online%20course_._&utm_campaign=NEW-BG-PROS-TECH-IT-EthicalHacking-Broad-_._ci_437490_._sl_ENG_._vi_TECH_._sd__._la_EN_._&utm_content=_._ag_course_._ad_76072531839563_._de_c&utm_source=bing&k_clickid=68f73d14-fba3-4c1d-9825-5c54082a7380_408_BING_NEW-BG-PROS-TECH-IT-EthicalHacking-Broad-_._ci_437490_._sl_ENG_._vi_TECH_._sd__._la_EN_.__Course_ethical%20hacking%20online%20course_bb_76072531839563_c

6 0

4 years ago

A consumer group has determined that the distribution of life spans for gas ovens has a mean of 15.0 years and a standard deviat

Mnenie [13.5K]

Answer:

B. Mean = 1.6 years, standard deviation = 0.92 years, shape: approximately Normal.

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 normal distributions 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 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.

Subtraction of normal variables:

When we subtract normal variables, the mean is the subtraction of the means, while the standard deviation is the square root of the sum of the variances.

35 gas ovens

A consumer group has determined that the distribution of life spans for gas ovens has a mean of 15.0 years and a standard deviation of 4.2 years. This means that:

$\mu_G = 15, \sigma_G = 4.2, n = 35, s_G = \frac{4.2}{\sqrt{35}} = 0.71$