MHB Aux24 probability student range

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The discussion centers on interpreting a frequency chart of Ms. Hernandez's science students' test scores. It highlights the cumulative scores, indicating that 12 students scored between 65-70 and 13 scored between 65-80. This implies that only 1 student scored in the range of 71-80, as 12 students fall within the lower range. Participants express confusion over the interpretation of the cumulative data, emphasizing the importance of understanding the score intervals correctly. Accurate reading of the data is crucial for determining the number of students in specific score ranges.
karush
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The frequency chart below shows the cumulative number of Ms. Hernandez's science students
whose test scores fell within certain score ranges All test scores are whole numbers.
Cumulative number Score range of students

$\begin{array}{lll}
&65-70& 12\\
&65-80& 13\\
&65-90& 19\\
&65-100& 21
\end{array}$
a.1 b.6 c.8 d.12 e.13
How many students have a test score in the interval 71-80

ok I guessed this to be 13 but ?
what about students who in the 65-71 range
I don't know of any equation to figure this other than just observation
 
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12 students scored in the range 65 to 70
13 students scored in the range 65 to 80

wouldn't that mean only 1 student scored in the range 71 to 80 ?
 
sorry i don't get it
 
call it a "linear" Venn diagram ...

score_range.jpg
 
That helps :cool:
 
Why would you read "13 students have grades in the range of 65 to 80" and conclude that "13 students have grades in the range 71 to 80"? 65 is NOT 71!

13 students have grades in the range 65 to 80 but 12 of those have grades in range 65 to 70.
 
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

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