Answer:
(0.102, -0.062)
Step-by-step explanation:
sample size in 2018 = n1 = 216
sample size in 2017 = n2 = 200
number of people who went for another degree in 2018 = x1 = 54
number of people who went for another degree in 2017 = x2 = 46
p1 = x1/n1 = 0.25
p2 = x2/n2 = 0.23
At 95% confidence level, z critical = 1.96
now we have to solve for the confidence interval =
<h2>

</h2>

= 0.02 ± 1.96 * 0.042
= 0.02 + 0.082 = <u>0.102</u>
= 0.02 - 0.082 = <u>-0.062</u>
<u>There is 95% confidence that there is a difference that lies between - 0.062 and 0.102 on the proportion of students who continued their education in the years, 2017 and 2018.</u>
<u></u>
<u>There is no significant difference between the two.</u>
Answer:
(-1.5, 0) and (0, -6)
Step-by-step explanation:
Answer:
5/3
Step-by-step explanation:
rise=5
run=3
so 5/3
Convert all statistics into percentages:
CA: 3/25=0.12 -> 12%
NY: 3/50=0.06 -> 6%
TX: 2/25=0.08->8%
(A) Out of the three states, California has the largest population
(B) Out of the three states, NY has the smallest population
(C) USA=100%, CA+NY+TX=26%, therefore 74% of USA do not live on those three states.