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:
Descriptive statistics
Explanation:
The population average is a descriptive statistic. It informs about how the population looks like, in this case, the population looks like having a average of 1000.
If, using her class's average where to infer the population average that is inferential statistic. But that is not the case
Answer: B
Because it does not pass through (0,0)
46.94 ≈ 47
7.09 ≈ 7
10/40 = (10*1)/(10*4) = (10/10)*(1/4) = 1/4
Answer:
There were 6 guides on Sunday.
Step-by-step explanation:
Same ratio
On Saturday, 120 tourists and 18 guides.
On Sunday, 40 tourists and x guides.
Due to the same ratio:





There were 6 guides on Sunday.