hat is the probability thata student completes the physical nthess ninutes? less than +0.52% +0.13% 39.74% 39.36% What is the longest time to complete the test of a student whose time belongs to the niddle 60% of all recorded times? 11.64 min 16 min 17.53 min 18.36 min f the student who get the fastest 5% completion times will be exempted from the additional gym workout session. What is the slowest time that a student can have to qualify the completion 3.40 MIN 3.42 MIN 3.44 MIN 3.46 MIN What is the fastest completion time of the students who belong to the longest 25% of all completion time?
hat is the probability thata student completes the physical nthess ninutes? less than +0.52% +0.13% 39.74% 39.36% What is the longest time to complete the test of a student whose time belongs to the niddle 60% of all recorded times? 11.64 min 16 min 17.53 min 18.36 min f the student who get the fastest 5% completion times will be exempted from the additional gym workout session. What is the slowest time that a student can have to qualify the completion 3.40 MIN 3.42 MIN 3.44 MIN 3.46 MIN What is the fastest completion time of the students who belong to the longest 25% of all completion time?
hat is the probability thata student completes the physical nthess ninutes? less than +0.52% +0.13% 39.74% 39.36% What is the longest time to complete the test of a student whose time belongs to the niddle 60% of all recorded times? 11.64 min 16 min 17.53 min 18.36 min f the student who get the fastest 5% completion times will be exempted from the additional gym workout session. What is the slowest time that a student can have to qualify the completion 3.40 MIN 3.42 MIN 3.44 MIN 3.46 MIN What is the fastest completion time of the students who belong to the longest 25% of all completion time?
The time it takes for grade 11 students in a certain school to complete physical fitness test is normally distributed with mean 15 minutes and a standard deviation of 4 minutes?
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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