Show that in Example 4.4.7, page 153, the difference between the two candidates is statistically significant even at a confidence level of 99.7%. Now to the numbers! Let's begin with Candidate A. We have the followingnumbers: sample size n =1350, favorable voters k648. Therefore p6480.48 or 48%, and o 21350 x 0.48 х (1 — 0.48) ~ 18.3565, so the135018.3565standard error is st.err. -a 0.0136 or 1.36%.1350CHAPTER 4. STATISTICS153This tells us that the percentage of support for Candidate A the day ofthe poll was between 48 – 2 × 1.36 and 48+2×1.36, that is between 45.28%and 50.72%.Similarly, for Candidate B we have n =1350, favorable voters k702.702Therefore p =— 0.52 or 52%, and o ~ y/1350 x 0.52 х (1 — 0.52) ~135018.356518.3565, so the standard error is st.err. 22 0.0136 or 1.36%.1350This tells us that the percentage of support for Candidate B the day ofthe poll was between 52 – 2 × 1.36 and 52+ 2×1.36, that is between 49.28%and 54.72%.When we plot these two intervals one on top the other we clearly see thatthey overlap.AE*******I45.284850.72ВE******:******I49.285254.72OverlapE********I49.2850.72Figure 4.18: Overlapping Confidence Intervals for Two CandidatesThat means that with a 95% confidence level, we cannot say that onecandidate beats the other. We call this situation a statistical tie, or we say

Name: Show that in Example 4.4.7, page 153, the difference between the two c
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Description: Show that in Example 4.4.7, page 153, the difference between the two candidates is statistically significant even at a confidence level of 99.7%. Now to the numbers! Let's begin with Candidate A. We have the followingnumbers: sample size n =1350, fav