Using random sample data, an analyst estimated that in an upcoming election, a candidate will receive 45% of the votes. The margin of error for this estimation is 4%. Which of the following is the most appropriate conclusion based on the given estimate and margin of error?Choose 1 answer:(A) The candidate will receive exactly 45% of the votes.(B) The candidate will receive between 41% and 45% of the votes.(C) The candidate will receive between 45% and 49% of the votes.(D) The candidate will receive between 41% and 49% of the votes.
Q. Using random sample data, an analyst estimated that in an upcoming election, a candidate will receive 45% of the votes. The margin of error for this estimation is 4%. Which of the following is the most appropriate conclusion based on the given estimate and margin of error?Choose 1 answer:(A) The candidate will receive exactly 45% of the votes.(B) The candidate will receive between 41% and 45% of the votes.(C) The candidate will receive between 45% and 49% of the votes.(D) The candidate will receive between 41% and 49% of the votes.
Margin of Error Explanation: Understand the concept of margin of error. The margin of error in a statistical estimate represents the range within which the true value is expected to lie with a certain level of confidence. In this case, the margin of error is 4%, which means the true percentage of votes the candidate will receive could be 4% higher or lower than the estimated 45%.
Calculate Lower Bound: Calculate the lower bound of the estimate.To find the lower bound, subtract the margin of error from the estimated percentage.Lower bound = Estimated percentage - Margin of errorLower bound = 45%−4%Lower bound = 41%
Calculate Upper Bound: Calculate the upper bound of the estimate.To find the upper bound, add the margin of error to the estimated percentage.Upper bound =Estimated percentage+Margin of errorUpper bound =45%+4%Upper bound =49%
Determine Range: Combine the lower and upper bounds to determine the range.The candidate is estimated to receive between 41% and 49% of the votes, taking into account the margin of error.
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