Answer:
Step-by-step explanation:
Independently selected samples measures scores on the same variable but for two different groups of cases while Paired-samples measures scores on two different variables but for the same group of cases.
In case study 1, the sample is independently selected; a random sample of 100 science majors and a random sample of 75 liberal arts majors are selected: two different group of cases and just one variable, to compare the mean number of hours.
In case study 2, the samples are paired, a random sample of science majors is selected. Each student in this sample is asked for two data values: a group of case but two different variables; how much money they spent on textbooks in the spring semester and how much money they spent on textbooks in the fall semester were measured.
In case study 3, the samples were independently selected. Two different group of cases; a random sample of science majors is selected. A separate random sample of the same size is selected from the population of liberal arts majors were measured for just one variable the mean amount of time spend in campus.
15 Short Answer Questions
( =45 points)
5 Multiple Choice Questions
( = 5 points)
Answer:
33
Step-by-step explanation:
Answer:
3136
Step-by-step explanation:
Thats the answer please I don't have time to write the explanation
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
