Answer:
40.1% probability that he will miss at least one of them
Step-by-step explanation:
For each target, there are only two possible outcomes. Either he hits it, or he does not. The probability of hitting a target is independent of other targets. So we use the binomial probability distribution 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.
0.95 probaiblity of hitting a target
This means that 
10 targets
This means that 
What is the probability that he will miss at least one of them?
Either he hits all the targets, or he misses at least one of them. The sum of the probabilities of these events is decimal 1. So
We want P(X < 10). So
In which
40.1% probability that he will miss at least one of them
Answer: The unit rate is 3 centerpieces per hour
Step-by-step explanation:
18centterpieces/6hrs =3
Answer:
The correct answer is
d. Sampling Interval = Population size ÷ Sample size.
Step-by-step explanation:
According to Johnstone et al., (2014) "<em>Once the auditor has determined the appropriate sample size, a sampling interval is calculated by dividing the population size by the sample size.</em>"
Thus,
Sampling Interval = Population size ÷ Sample size.
Johnstone, K., Rittenberg, L. and Gramling, A. (2014). <em>Auditing: A Risk-Based Approach to Conducting a Quality Audit.</em> Ninth Edition.
Answer:
Step-by-step explanation:
2200(1+0.0225/12) raised to the power of 12(4)
2200(1.001875) raised to the power of 12(4)
2204.125 raised to the power of 12(4)
2.98771099E160
or 2.98771099 multiplied by 10 to the 160th power
Answer:
1.7*10^3 greater
Step-by-step explanation:
So just divide the two numbers
3.4 * 10^5/ 2 * 10^3
