CAN ANYONE ANSWER THIS I WILL GIVE BRAINLIEST! 13

Mathematics

2 answers:

PIT_PIT [208]3 years ago

7 0

Answer:

option 4

Step-by-step explanation:

so first you would simplify to x>-6 and since there is no line under the greater then it would be and open circle and it is shading to the right because of the greater than symbol and if would start of -6 so option 4 is the correct answer

MaRussiya [10]3 years ago

5 0

Answer:

Draw an open circle on-6 and shade to the right.

Step-by-step explanation:

Simplify the inequality, so it looks like this: x > −6
When the inequality symbol doesn't have a line under it like these do, ≤ and ≥, then it's an open circle, rather than a closed one on a number line.
The last option would be the correct one because it says open circle and -6 like we said in step 1 and 2.

You might be interested in

Value of the y-intercept of the graph of f(x) = e1–x – 1?

frozen [14]

Answer:

(0, e-1) or (0, 1.718) to the nearest thousandth.

Step-by-step explanation:

The y-intercept occurs when x = 0 so here we have:

y = e^(1 - 0) - 1

= e - 1

So the y-intercept is the point (0, e-1)

5 0

3 years ago

Find the non-permissible replacement for: 4/5x

Alik [6]

Hello :
answer B) 0
because : 4/(5×0) no exist

8 0

3 years ago

The head of maintenance at XYZ Rent-A-Car believes that the mean number of miles between services is 3639 3639 miles, with a var

Andrei [34K]

Answer:

96.6% probability that the mean of a sample would differ from the population mean by less than 126 miles

Step-by-step explanation:

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

A reminder is that the standard deviation is the square root of the variance.

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 $s = \frac{\sigma}{\sqrt{n}}$ .