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Score is an old term meaning 20. Similarly, we still use dozen to mean 12 of anything. The most famouse example I know is when Abe Lincoln used "Four score and seven years ago" in a speech. It was a fancy way of saying 87 years. So 7 score of whatever you are counting would be 7x20=140 of them.

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12y ago

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What does 4 score and 7 mean?

87


What does 4 scores and 7 years mean?

87. A score is 20.


Which numbers would give a mean score of 7?

To achieve a mean score of 7, you need a set of numbers whose sum divided by the number of values equals 7. For example, if you have four numbers, their total sum must be 28 (since 7 multiplied by 4 equals 28). Possible sets could include {5, 7, 9, 7} or {6, 6, 7, 11}.


What does it mean if the Z score of a test is equal to 0?

If the Z Score of a test is equal to zero then the raw score of the test is equal to the mean. Z Score = (Raw Score - Mean Score) / Standard Deviation


What is the same as 20 years?

score like 4 score and 7 years ago our fathers... score like 4 score and 7 years ago our fathers...


Is a negative z score always an indicator that the raw score is below the mean?

Yes.z = (raw score - mean)/standard error.Since the standard error is positive, z < 0 => (raw score - mean) < 0 => raw score < mean.


What does a positive Z-score mean?

it means that the score is above the mean


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What was the score of the 2010 clemson vs usc football game?

If by USC you mean South Carolina Gamecocks, the score was USC 29 - Clemson 7


How many total years are four score 7 years?

A score is 20 years so four score means 80 and add 7 years to that?


Is it true any score with value less than the population mean will have a negative z-score?

Yes. If a score is below the mean, the z score will be negative.


How do you find the mean from raw score z score and standard deviation?

To find the mean from a raw score, z-score, and standard deviation, you can use the formula: ( \text{Raw Score} = \text{Mean} + (z \times \text{Standard Deviation}) ). Rearranging this gives you the mean: ( \text{Mean} = \text{Raw Score} - (z \times \text{Standard Deviation}) ). Simply substitute the values of the raw score, z-score, and standard deviation into this formula to calculate the mean.