The correct answer is - the number of hours he works at each job.
If we have the number of hours he works for each job separately, then we will be able to take out a percentage of the earnings from both of the jobs separately. We will than get the sum of the percentages if both of them, and have the real amount of George's weekly savings.
Answer:
See the explanation below.
Explanation:
The court likely to rule in favor of Ewing.
The reason is that the enough consideration that gives backing to a promise in this case is generally the waiver of a legal right to eat to obesity as requested by the other party.
The evidence that Ewing has lost 154 pounds in weight over the stipulated period is a consideration that sufficient enough under the law. The payment of $10 pound that Ewing has lost is a promise. The fact that Ewing also benefit from the weight loss does not matter.
The inference illustrates that the true statement about comparative intelligence is that it compares a plantiffs fault with a defendant's and reduces the damage award proportionally.
<h3>What is an inference?</h3>
It should be noted that an inference simply means the conclusion that can be deduced from the information given.
In this case, the inference illustrates that the true statement about comparative intelligence is that it compares a plantiffs fault with a defendant's and reduces the damage award proportionally.
Learn more about inference on:
brainly.com/question/25280941
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Answer: mean monthly income = $5000
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Explanation
In any normal distribution, the median and mean are the same value.
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The proof is as follows:
If mean > median was the case, then the distribution would be skewed to the right (ie positively skewed). The right tail is pulled longer than the left tail. But this would contradict the symmetrical nature of the normal distribution. So mean > median must not be the case.
If mean < median, then the distribution would be skewed to the left (negatively skewed). Visually this pulls the left tail longer than the right tail. Like in the previous paragraph, this contradicts the symmetrical nature of the normal distribution. So mean < median must not be the case.
Since mean > median cannot be true, and neither can mean < median, this must indicate mean = median.
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So in short, any symmetrical distribution always has mean = median and they are at the very center of the distribution.
