Answer:
95% confidence interval for the proportion of internet users who say online groups have helped solved a problem is between a lower limit of (0.65 - 0.9349/√n) and an upper limit of (0.65 + 0.9349/√n).
Step-by-step explanation:
Confidence interval for a proportion is given as p +/- margin of error (E)
p is the proportion of internet users who say online groups have helped solved a problem = 65% = 0.65
Let the number of internet users be represented by n
confidence level (C) = 95% = 0.95
significance level = 1 - C = 1 - 0.95 = 0.05 = 5%
critical value corresponding to infinity degrees of freedom and 5% significance level is 1.96
E = critical value × sqrt[p(1-p) ÷ n] = 1.96 × sqrt[0.65(1-0.65) ÷ n] = 1.96 × sqrt(0.2275 ÷ n) = 1.96×0.477/√n = 0.9349/√n
Lower limit of proportion = p - E = 0.65 - 0.9349/√n
Upper limit of proportion = p + E = 0.65 + 0.9349/√n
95% confidence interval is (0.65-0.9349/√n, 0.65+0.9349/√n)
Step-by-step explanation:
9x2= 3 • 3 • x2
6x= 3 • 2 • x
12x= 2 • 2 • 3 • x
8= 2 • 2 • 2
Answer:
H0: p1-p2=0
Ha: p1-p2≠0
This hypotheses can be written as
H0: p1=p2
Ha: p1 ≠p2
Step-by-step explanation:
Here the claim is if these data provide strong evidence the rate of sleep deprivation is different for the two states which will be formulated as alternate hypothesis .
Ha: p1-p2≠0
The null hypothesis is
H0: p1-p2=0 i.e these data do not provide strong evidence the rate of sleep deprivation is different for the two states.
where p1 = as population 1 of California
p2= as population 2 of Oregon
This hypotheses can be written as
H0: p1=p2
Ha: p1 ≠p2
which will also give the same results as above and a two tailed test will be performed for both hypotheses.
