What distribution is used to model the amount of shampoo in a bottle?
AP Exam #2

Interactive Video
•
Mathematics
•
12th Grade
•
Easy
Mr. Mario Ortega
Used 1+ times
FREE Resource
7 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Uniform distribution
Binomial distribution
Normal distribution
Poisson distribution
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the z-score calculated for the boundary value in the shampoo bottle problem?
Standard deviation divided by mean
Mean divided by standard deviation
Boundary value minus mean divided by standard deviation
Mean minus boundary value divided by standard deviation
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What conditions must be met for a random variable to be considered binomially distributed?
Fixed number of trials, two outcomes, independent trials, equal probability
Fixed number of trials, two outcomes, dependent trials, equal probability
Variable number of trials, two outcomes, independent trials, varying probability
Fixed number of trials, multiple outcomes, independent trials, equal probability
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is the original programming of the filling machine preferred over the adjusted programming?
Higher probability of underfilled bottles
Lower probability of underfilled bottles
Lower standard deviation
Higher mean volume of shampoo
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the probability of success for a super igniter according to the problem statement?
0.70
0.30
0.85
0.15
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the probability of the first failure occurring on the 31st or 32nd igniter calculated?
Adding the probabilities of failure on the 31st and 32nd
Multiplying the probabilities of success up to the 30th igniter
Subtracting the probabilities of success from 1
Using the binomial formula for 31st and 32nd trials
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a very low p-value in a significance test indicate?
Inconclusive results
The need for more data collection
Strong evidence in favor of the null hypothesis
Strong evidence against the null hypothesis
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