6000 increased by 145%

Mathematics

1 answer:

Lisa [10]3 years ago

8 0

Your question would be clearer if written as "What is 145% of 6000?"

1.45(6000) = 8700

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Which answer choice states the range of the following

ankoles [38]

<h2>Explanation:</h2><h2></h2>

Hello! Remember you have to write complete questions in order to get good and exact answers. Here you forgot to write the relation so I could help you providing my own relation.

Remember that for any relation, we have a set $A$ that matches the the domain (also called the set of inputs) of the function and the set $B$ that contains the range (also called the set of outputs).

Suppose our relation is:

$y=-10+x \\ \\ For \ x=1,2,3,4,5$

So the x-values represents the set A and the y-values the set B. Therefore, by evaluating the x-values into our relation we get:

$\text{If x=1} \\ \\ y=-10+1=-9 \\ \\ \\ \text{If x=2} \\ \\ y=-10+2=-8 \\ \\ \\ \text{If x=3} \\ \\ y=-10+3=-7 \\ \\ \\ \text{If x=4} \\ \\ y=-10+4=-6 \\ \\ \\ \text{If x=5} \\ \\ y=-10+5=-5$

So in this context, the correct option is:

B) (-9,-8, -7, -6, -5}

6 0

4 years ago

The weights of a certain dog breed are approximately normally distributed with a mean of 49 pounds, and a standard deviation of

AlekseyPX

Answer:

a. 74.86%

b. 50%

c. 50%

Step-by-step explanation:

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 z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Normally distributed with a mean of 49 pounds, and a standard deviation of 6 pounds.

This means that $\mu = 49, \sigma = 6$