Normal Distribution Probability Practice
12th Grade
•15 Qs
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Normal Distribution Probability Practice
Quiz
•
Mathematics
•
12th Grade
•
Hard
+5
Standards-aligned
Madison Beane
FREE Resource
15 questions
Show all answers
1.
OPEN ENDED QUESTION
3 mins • 1 pt
1. The mean life of a tire is 30,000km. The standard deviation is 2000km. What percent of the tires will have a life that exceeds 25,000km?
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Tags
CCSS.HSS.ID.A.4
2.
OPEN ENDED QUESTION
3 mins • 1 pt
2. The mean life of a tire is 30,000km. The standard deviation is 2000km. If a company purchased 2000 tires, how many tires would you expect to last more than 27400km?
Evaluate responses using AI:
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Tags
CCSS.HSS.IC.A.1
CCSS.HSS.IC.B.4
CCSS.HSS.ID.A.4
CCSS.HSS.MD.A.2
CCSS.HSS.MD.A.3
CCSS.HSS.MD.B.5
3.
OPEN ENDED QUESTION
3 mins • 1 pt
3. The shelf life of a particular cheese is normally distributed with a mean of 12 days and a standard deviation of 3 days. About what percent of the cheese last between 10 and 15 days?
Evaluate responses using AI:
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Tags
CCSS.HSS.ID.A.4
CCSS.HSS.MD.A.1
CCSS.HSS.MD.A.2
CCSS.HSS.MD.A.3
4.
OPEN ENDED QUESTION
3 mins • 1 pt
4. The shelf life of a particular cheese is normally distributed with a mean of 12 days and a standard deviation of 3 days. About what percent of the cheese last between 13 and 16 days?
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Tags
CCSS.HSS.ID.A.4
5.
OPEN ENDED QUESTION
3 mins • 1 pt
5. The shelf life of a particular cheese is normally distributed with a mean of 12 days and a standard deviation of 3 days. The oldest 10% of cheese are put on sale. These cheeses will be older than what age?
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Tags
CCSS.HSS.ID.A.4
6.
OPEN ENDED QUESTION
3 mins • 1 pt
6. The shelf life of a particular cheese is normally distributed with a mean of 12 days and a standard deviation of 3 days. From a random selection of 60 cheeses, how many would you expect to be over a week old?
Evaluate responses using AI:
OFF
Tags
CCSS.HSS.IC.A.1
CCSS.HSS.ID.A.4
CCSS.HSS.MD.A.2
CCSS.HSS.MD.A.3
7.
OPEN ENDED QUESTION
3 mins • 1 pt
7. A lineup for tickets to a local concert had a mean waiting time of 20min with a standard deviation of 4min. What percentage of the people in line waited for more than 28 minutes?
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Tags
CCSS.HSS.ID.A.4
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