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Question 9
In June 2016 the UK held a referendum on its membership of the EU. Table 1 below summarises the results. | Votes | |---------------------------|... show full transcript
Step 1
Answer
To find the number of Invalid or blank votes, subtract the total of valid votes (Leave + Remain) from the total votes.
Invalid Votes = Total Votes - (Leave + Remain)
Invalid Votes = 33 577 342 - (17 410 742 + 16 141 241)
Invalid Votes = 33 577 342 - 33 551 983
Invalid Votes = 25 359
Thus, the number of invalid or blank votes is 25,359.
Step 2
Answer
To find the percentage of voters who voted to leave the EU:
Percentage = (Leave Votes / Valid Votes) × 100
Percentage = (17 410 742 / 33 551 983) × 100
Percentage ≈ 51.89%
Rounding to the nearest percent, approximately 52% of valid votes were to leave the EU.
Step 3
Answer
For visual representation, a bar chart displaying age groups on the x-axis and the percentage of 'Remain' and 'Leave' votes on the y-axis is suitable. Each age group should have two bars representing 'Remain' and 'Leave' percentages, colored differently for clarity.
Step 4
Answer
To calculate the mean:
Mean of Remain = (73 + 62 + 52 + 44 + 43 + 40) / 6 = 52.33%
Mean of Leave = (27 + 38 + 48 + 56 + 57 + 60) / 6 = 47.67%
Thus, the mean of the “Remain” values is 52.33% and the mean of the “Leave” values is 47.67%.
Step 5
Answer
The means calculated do not represent the actual outcome because they are based on percentages of voters within each age group rather than the overall population of voters. The actual outcome was influenced by the distribution of voters in each age group, which these averages do not account for.
Step 6
Answer
The margin of error (ME) can be calculated using the formula:
ME = rac{1}{ ext{sqrt{n}}}
Where n is the sample size (1200 in this case).
Thus,
ext{ME} ightarrow 0.0288675 \\ ext{or } 2.88675 ext{%}$$ \ Which rounded gives a margin of error of approximately 3%.Step 7
Answer
To calculate the confidence interval for the proportion:
The confidence interval can be calculated using:
Where m is the value from the Z-table for a 95% confidence level (≈ 1.96).
Calculating:
This gives:
Thus, the 95% confidence interval for the proportion is approximately (42.51%, 53.83%).
Step 8
Answer
To conduct the hypothesis test, use:
Using the sample proportion:
Solving this leads to a calculated Z-value which can then be compared to the Z-value from the standard normal distribution at 5% significance level. If the calculated Z is beyond the critical Z value, we reject H0.
Conclusion: Based on the calculated Z, if we find it is not significant, we accept H0 and the party’s claim of 53% is not substantiated.
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