Explanation:
There are 3 possible cases that describe the relationship between the mean and median of the collected data.
First case:
If the distribution is symmetric then, mean = median.
Second case:
For the positively skewed frequency distribution, the mean is greater than the median.
Third case:
For the negatively skewed frequency distribution mean is less than the median.
Using sampling concepts, the population and the sample are given as follows:
d. population: 6,000 batches of 100 cards sample: every 100th batch.
<h3>What is sampling?</h3>
It is a common statistics practice, when we want to study something from a population, we find a sample of this population, which is a <u>group containing elements of a population</u>. A sample has to be representative of the population, that is, it has to involve all segments of the population.
For example:
I want to estimate the proportion of New York state residents who are Buffalo Bills fans. So I ask, lets say, 1000 randomly selected New York state residents whether they are Buffalo Bills fans, and then:
- The population is: All New York State residents.
- The sample is the 1000 randomly selected New York state residents.
Hence, in the situation described the population is the 6,000 batches of 100 cards, while the sample is every 100th batch, hence option d is correct.
More can be learned about sampling concepts at brainly.com/question/25122507
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13 ft is the right answer
A percentage is an amount out of 100. So .45% is 0.45/100. For me, it's easiest to just multiply the numerator and denominator by 100 to get rid of the decimal, giving me 45/10,000
hope this helped
