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To determine the percentage of scores between 61 and 82, you would need to know the distribution of the scores (e.g., normal distribution) and the total number of scores. If the data is normally distributed, you can use the mean and standard deviation to find the percentage of scores in that range using a z-score table. Without specific data, it isn't possible to provide an exact percentage.
To determine the percentage of scores between 63 and 90, you would need the complete dataset or a statistical summary (like a frequency distribution or histogram) of the scores. By counting the number of scores within that range and dividing by the total number of scores, then multiplying by 100, you can calculate the percentage. Without specific data, it's impossible to provide an exact percentage.
Into what kind of percentage do you want to convert it? A percentile already is some kind of percentage. It says that so-and-so many percent score above (or below) your score (or whatever score you are considering). The actual score (percentage or otherwise) can't be deduced from the percentile, unless you look it up in a table of scores. For example, if you are in the top 20 percentile in an exam, and there are 1000 students, get a list of the scores - sorted from high to low - and count the first 20% of scores - in this example, the scores for the best 200 students. The student at position #200 will be the answer.
IQ scores for adult students age 25-45 have a bell-shaped distribution with a mean of 100 and a standard deviation of 15.sing the Empirical Rule, what percentage of adult students age 25-45 have IQ scores between 70 and 130?
2
Not necessarily. The difference may be genuine and that is not the "fault" of the assessment.
You add all the scores, then divide by the number of students.
In a normal distribution, approximately 68% of scores fall within one standard deviation of the mean (between -1 and +1 standard deviations). About 95% of scores fall within two standard deviations (between -2 and +2 standard deviations). Therefore, the percentage of scores that falls specifically between the mean and -2 to 2 standard deviations is about 95% minus the 50% that is below the mean, resulting in approximately 45%.
(x)/(y)=avg X= Total of Scores. Y= Total of Students.
Curving a grade means adjusting the scores of students to improve the overall distribution of grades. This can impact students' final scores by potentially raising them if the curve results in higher grades being assigned. Conversely, it can also lower students' final scores if the curve results in lower grades being assigned.
Most colleges want students with both good test scores and strong extracurricular backgrounds.
After a touchdown, Texas A&M students at the game with a date kiss their date, under the logic that if the team scores, everybody scores.