![]() Step 6: Add all the squared deviations and divide the total by the number of variables in the data set to determine the variance. Step 5: Next, calculate the squared deviations for the variables, i.e. I.e., (X i – μ) is the deviation for the i th data point. Step 4: Next, deduct the Mean from each data set Variable to calculate their deviation from the Mean. Therefore, Chelsea’s SAT score on 1 st attempt is 0.07 standard deviation lower than the average test-taker score, which indicates that 47.40% of the test-takers scored less than Chelsea during the 1 st attempt. Please help Chelsea to decide in which exam did she perform better. According to available information, the average score and standard deviation during the 1 st attempt were 1100 and 230, respectively, while in the latter, it was 1050 and 240, respectively. She scored 10 on her 1 st and 2 nd attempts, respectively. Let us take the example of Chelsea, who has written the SAT twice and wants to compare her performance in them. Therefore, Manny’s SAT score is 0.32 standard deviation higher than the average test-taker score, which indicates that 62.55% of the test-takers scored less than Manny. Z Score is calculated using the formula given below: Therefore, calculate the Z score for Manny’s SAT score and assess how well he did compare to the average test-takers. However, as per available information, the average score for SAT remained around 1030 with a standard deviation of 250. ![]() ![]() He managed to score 1109 in this attempt. Let us take the example of Manny, who recently appeared for SAT. You can download this Z Score Formula Excel Template here – Z Score Formula Excel Template Z Score Formula – Example #1 ![]()
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