<h3>Given that it is arithmetic</h3>


24➗2.88=0.8
30➗0.8 = 3.75
So the answer is 3.75
Answer:
945 males
Step-by-step explanation:
1500*37/100= 555 female
1500-555 = 945 male
Because 1500 is the total number so it is eual a 100% and you do the cross multiply. You will get 555 for female. And you use the total to subtract female employees and you will get male employees number.
Answer:
The difference in the sample proportions is not statistically significant at 0.05 significance level.
Step-by-step explanation:
Significance level is missing, it is α=0.05
Let p(public) be the proportion of alumni of the public university who attended at least one class reunion
p(private) be the proportion of alumni of the private university who attended at least one class reunion
Hypotheses are:
: p(public) = p(private)
: p(public) ≠ p(private)
The formula for the test statistic is given as:
z=
where
- p1 is the sample proportion of public university students who attended at least one class reunion (
)
- p2 is the sample proportion of private university students who attended at least one class reunion (
)
- p is the pool proportion of p1 and p2 (
)
- n1 is the sample size of the alumni from public university (1311)
- n2 is the sample size of the students from private university (1038)
Then z=
=-0.207
Since p-value of the test statistic is 0.836>0.05 we fail to reject the null hypothesis.