Shalise competed in a jigsaw puzzle competition where participants are timed on how long they take to complete puzzles of variou
s sizes.
Shalise completed a small puzzle in 75 minutes and a large jigsaw puzzle in 140 minutes. For all participants, the distribution of completion
time for the small puzzle was approximately normal with mean 60 minutes and standard deviation 15 minutes. The distribution of completion
time for the large puzzle was approximately normal with mean 180 minutes and standard deviation 40 minutes.
Approximately what percent of the participants had finishing times greater than Shalise's for each puzzle?
Shalise completed a small puzzle in 75 minutes and a large jigsaw puzzle in 140 minutes. For all participants, the distribution of completion
time for the small puzzle was approximately normal with mean 60 minutes and standard deviation 15 minutes. The distribution of completion
time for the large puzzle was approximately normal with mean 180 minutes and standard deviation 40 minutes.
Approximately what percent of the participants had finishing times greater than Shalise's for each puzzle?
1 answer:
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2) 5.625 mg will be left
Explanation:1) Half-life = 17.5 days
initial amount of Arsenic-74 = 90 mg
To get the equation, we will use the equation of half-life:
2) we need to find the remaining amount of Arsenic-74 after 70 days
t = 70
So after 70 days, 5.625 mg will be left
Solution:
Population in the city= 10,000
As genetic condition affects 8% of the population.
8 % of 10,000
As, it is also given that, there is an error rate of 1% for condition (i.e., 1% false negatives and 1% false positives).
So, 1% false negatives means out of 800 tested who are found affected , means there are chances that 1% who was found affected are not affected at all.
So, 1% of 800
Also, 1% false positives means out of 10,000 tested,[10,000-800= 9200] who are found not affected , means there are chances that 1% who was found not affected can be affected also.
So, 1% of 9200
1. Has condition Does not have condition totals = 800
2. Test positive =92
3. Test negative =8
4. Total =800 +92 +8=900
5. Probability (as a percentage) that a person has the condition if he or she tests positive= As 8% are found positive among 10,000 means 9200 are not found affected.But there are chances that out of 9200 , 1% may be affected
that is Probability equal to 0.01 or 1%.