Answer:
Reject Null Hypothesis given that P-value < ∝
Step-by-step explanation:
Applying the Five ( 5 ) step model and assuming ∝ = 0.05
First step : determine the Null hypothesis
H0 : Age and support for Anti-smoking = independent
Second step : Determine the alternate hypothesis
Ha : Age and support for Anti-smoking ≠ independent
Thirdly : Identify significance level ( ∝ ) = 0.05
4th step : Calculate the Test statistic and P-value
Chi-squared test = 36.1429 using excel function
P-value = 1 - CHISQ.DIST(36.1429, 1, TRUE) < 0.0001
finally : we can conclude that Age and support for Anti -smoking are not Independent hence we Reject The Null hypothesis. Given that
P-value < ∝
1.11 2.14 3.10 4.9 5.-5 6.-8 7.11 8.40 9.9 10.12 11.30 12.22 13.3 14.-4 15.16 16.35
Answer: Twelve times four squared
Step-by-step explanation: hope it helps
Answer:
a) 96% CI: 
b) If we estimate that the fraction of voters is 0.57, we can claim with 96% confidence that the error is equal or less than 0.06 from the estimated proportion.
Step-by-step explanation:
The proportion of the sample is

The standard deviation of the sample proportion is

For a 96% CI, the z-value is z=1.751.
Then, the 96% CI can be written as:

b) If we estimate that the fraction of voters is 0.57, we can claim with 96% confidence that the error is equal or less than 0.06 from the estimated proportion.
Y² = 12
y = 2√3
x = √6
Now, 4 /xy
= 4/2√3√6
= 2 / 3√2
= √2/3
In short, Your Answer would be √2 / 3
Hope this helps!