Can someone check if this is correct please

Which of the following does not have only one solution.

vlada-n [284]

Answer:

$a. \: x + 3 = 7 \\ or \: x = 7 - 3 \\ or \: x = 4$

<h3>Thank you ☺️☺️</h3>

3 0

3 years ago

Asociologist is studying influences on family size. He finds pairs of sisters, both of whom are married, and determines for each

Mazyrski [523]

Answer:

:0

Step-by-step explanation:

6 0

3 years ago

Vance used the associative property to write (4.5m+7/8)-9 as the equivalent expression 4.5(7/8-9). Did Vance apply the associati

baherus [9]

Answer: the fourth choice: <span>No, the addition symbol was dropped in the second expression

Justification:

1) The right operation is: </span><span>(4.5m + 7/8) - 9 </span><span>= 4.5m + (7/8 - 9), this is you have to keep the + operator, since you are just grouping the terms in an alternate form.

2) Droping the + operator leads incorrectly to the multiplication of the first term, 4.5m to the terms in parenthesis, instead to the addition, which is what corresponds.

</span>

4 0

3 years ago

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The average amount of water in randomly selected 16-ounce bottles of water is 16.15 ounces with a standard deviation of 0.45 oun

vekshin1

Answer:

0.0179 = 1.79% probability that the mean of this sample is less than 15.99 ounces of water.

Step-by-step explanation:

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

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