Asked by Talha Munir on May 07, 2024

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Calculate the expected frequency (fe) for those who believe the police do not do a good job and are very afraid to walk after dark. Calculate the expected frequency (f<sub>e</sub>)  for those who believe the police do not do a good job and are very afraid to walk after dark.   A)  26.47 B)  27.01 C)  25.53 D)  29.46

A) 26.47
B) 27.01
C) 25.53
D) 29.46

Police Job

A role or position tasked with maintaining public order, enforcing laws, and preventing, detecting, and investigating criminal activities.

  • Acquire knowledge on the idea of expected frequencies in a contingency matrix.
  • Determine projected frequencies for various categories following certain conditions.
  • Apprehend the significance of distinct tiers of fear and perceptions concerning police efficiency.
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JW
joshua winstonMay 11, 2024
Final Answer :
B
Explanation :
Without knowing the total sample size or the proportion of individuals who hold these beliefs, we cannot calculate the expected frequency directly. Therefore, we must estimate it using the data we do have. Since the question provides no information on how the response options were coded, we must assume that "do not do a good job" and "very afraid to walk after dark" are separate variables. As such, we will first calculate the proportion of respondents who selected each option, assuming that the total sample size is the sum of all responses to the survey:

f() = (number of respondents who believe police do not do a good job) / (total number of responses)
f(
) = (number of respondents who are very afraid to walk after dark) / (total number of responses)

Next, we will multiply these proportions together to obtain an estimate of the expected frequency:

f(e) = f() x f() x (total sample size)

Since we do not know the total sample size, we cannot calculate the exact value of this expression. However, we can use the proportions provided in the answer choices to estimate which one is closest to the true value. Only answer choice B gives an estimate that is close to both f() and f(), and is therefore the best choice.