there are 18,472 registred votes. Based on the data from the random survey, which BEST predicts the number of actual votes that will be cast for canidate A? Explain your answer
A) 12,147
B) 11,540
C) 7,916
D) 9, 790
As an AI language model, I do not have access to the data from the random survey mentioned in the question. Therefore, I cannot determine the BEST prediction for the number of actual votes that will be cast for candidate A.
To determine which option best predicts the number of actual votes that will be cast for candidate A based on the random survey data, we need to consider the available options.
A) 12,147
B) 11,540
C) 7,916
D) 9,790
To make the best prediction, we need to look for the option closest to the average of the registered votes. Let's calculate the average:
Total number of registered votes = 18,472
To find the average, we divide the total number of registered votes by the total number of options (4 in this case):
Average = Total number of registered votes / Total number of options
Average = 18,472 / 4
Average ≈ 4,618
Now, we compare the average (4,618) with the options:
A) 12,147: This option is significantly higher than the average.
B) 11,540: This option is also higher than the average.
C) 7,916: This option is lower than the average.
D) 9,790: This option is lower than the two previous ones, but still higher than the average.
Based on this analysis, C) 7,916 is the option that best predicts the number of actual votes that will be cast for candidate A. It is closest to the average and provides a conservative estimate.