Answer:
28.6, that is, about 29 are expected to be defective
Step-by-step explanation:
For each battery, there are only two possible outcomes. Either it is defective, or it is not. The probability of a battery being defective is independent of other betteries. So the binomial probability distribution is used to solve this question.
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
The expected value of the binomial distribution is:
The probability that a battery is defective is 1/14.
This means that
400 batteries.
This means that
How many are expected to be defective?
28.6, that is, about 29 are expected to be defective
Answer:
these are the answers
Step-by-step explanation:
sorry it looks a little blurry
Answer:
Wave length = speed / frequency
Wave length = 3x10^8 / 4.11x10^4
Wave length = 7.299x10^3nm
Step-by-step explanation:
Answer: 9.9 years.
Step-by-step explanation:
If interest is compounded continuously, then formula to compute final amount A = , where P =initial amount, r= rate of interest , t=time.
Given: P= $61,000, r= 1.9% =0.019 , A = $ 73600
Substitute all values in formula
Taking natural log on both sides
Hence, the required time = 9.9 years.
Answer:
0.5981 = 59.81% probability that three or less of the selected adults have saved nothing for retirement
Step-by-step explanation:
For each adult, there are only two possible outcomes. Either they save nothing for retirement, or they save something. The probability of an adult saving nothing for retirement is independent of any other adult. This means that the binomial probability distribution is used to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
In which is the number of different combinations of x objects from a set of n elements, given by the following formula.
And p is the probability of X happening.
20% of adults in the United States save nothing for retirement (CNBC website).
This means that
Suppose that sixteen adults in the United States are selected randomly.
This means that
What is the probability that three or less of the selected adults have saved nothing for retirement?
This is:
In which
0.5981 = 59.81% probability that three or less of the selected adults have saved nothing for retirement