Suppose you are an operations manager for a plant that manufactures batteries. Give an example of how you could use descriptive
statistics to make better managerial decisions. Give an example of how you could use inferential statistics to make better managerial decisions.
1 answer:
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Answer:
Inferential statistics
Descriptive statistics
inferential statistics
descriptive statistics
Descriptive statistics
Inferential statistics
Explanation:
Descriptive statistics describes data and gives us a picture of what the data summary looks like using such things as mean and central tendency measures. Inferential statistics on the other hand aims to make predictions using the data based on data analysis such as collecting sample from population and constructing hypotheses to estimate outcomes for the general population. Example in the question, the first is inferential statistics as we make generalized predictions on batteries using data samples from the population of batteries of a particular type.
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Answer:
200 % is the answer.
Explanation:
Toni makes x be apple pies .
and Jane works for y hours.
therefore, he makes x apple pies in y hours
which implies he makes apple pies per hour
Now with help of an assistant:
Toni makes 60% more apple pies i.e. x + 0.6x = 1.6x apple pies
works 20% less i.e. y - 0.2y = 0.8y hours
therefore, now together they make 1.6x/0.8y apple pies per hour
simplifying we get
200
Hence % increase in output PER HOUR is 200.