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A manufacturer that specializes in hamburgers made 200 hamburger patties. The manufacturer claims that the weights of these patties are approximately normally distributed with a mean of 8 ounces and a standard deviation of 0.54 ounces. You go to a store and buy 5 randomly selected hamburgers and find that the mean weight of your 5 hamburgers is only 7.6 ounces.

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Answer:

The answer is "Parameter: 8 ounces and Statistics: 7.6 ounces"

Step-by-step

Amount of restaurant hamburger packers = 200

Mean weight of its patties = 8 ounces

Specification Patty Deviation=0.54 ounces

Those who went to the supermarket and bought five hamburgers picked randomly.

The important weight of hamburgers = 7.6 ounces

For this case, we need to classify the sample population and test statistics.

The group comprises all elements that may probably be predefined, while a small number of findings from this wider group are taken from either the sample. The restaurants achieved a list of 200 hamburgers. Consequently, the population is made up of 200 patties. From 200 hamburgers accessible, I visit the shop or pick 5 hamburgers. So, five hamburgers arbitrarily selected are samples.

parameters:

The parameter is known for just about any value or metric representing or reflecting the entire nation. They know from the information that the average weight of 200 burger patties is eight pounds. Because as mean(center) of a whole population is 8 ounces, this is a parameter.

Statistics:

The statistic is any quality or measure defining or representing its specimen. We purchased 5 randomly selected hamburgers, which meant 7.6 ounces for mean weight. 7.6 is a statistic, thus.

User Igor Labutin
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