Determine 2 additional fractions that would reduce to one fourth?

Help me please 2. You learn from your science teacher that water expands when you freeze it. The next time that you freeze your

harkovskaia [24]

You would be correct. Direct reasoning you already have your teacher who told you what would happen you are simply doing a reaction because of her.

3 0

3 years ago

3.

Gwar [14]

Answer:

$x = 3$ $and$ $x = -3$

Step-by-step explanation:

In this problem, we are substituting for x.

Let us take a look at our given answers.

x = -13 and x = -3 would not work because the numbers would not add up to -5. Since we have the positive brackets (or whatever you call them.) surrounding the x variable, that means that all numbers that are plugged into x will be positive.

-13 will be turned into 13,

13 - 8 $\neq$ -5

So that is wrong.

x = 3 and x = 3 would work because plugging it in, all outcomes from the two numbers would be negative.

3 - 8 = -5

$|-3|$ - 8 = -5

True.

The third one won't work because of the same reasons as the first one.

Then, the last one would not work well because, there is a solution.

4 0

3 years ago

Suppose the round-trip airfare between Philadelphia and Los Angeles a month before the departure date follows the normal probabi

QveST [7]

Answer:

52.74% probability that a randomly selected airfare between these two cities will be between $325 and $425

Step-by-step explanation:

Problems of normally distributed samples are 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.

In this question, we have that:

$\mu = 387.20, \sigma = 68.50$