[ASK] Are the Frequency and the Score Switched?

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In summary, the conversation discusses a table with frequency and score values. The speaker initially calculates the average score to be around 8, but realizes that the frequency and score may be switched. After using a weighted average, they determine the mean score to be 7.166 and 20 students scored higher than the mean. However, this does not match any of the given options.
  • #1
Monoxdifly
MHB
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Pay attention to the table below.
\(\displaystyle \begin{array}{|c|c|c|c|c|c|}\hline Frequency & 5 & 6 & 7 & 8 & 9 \\ \hline Score & 6 & 6 & 10 & 15 & 5\\ \hline \end{array}\)
The amount of students who get above average are...
A. 9 students
B. 17 students
C. 18 students
D. 26 students
I got the average as \(\displaystyle \frac{291}{35}\), which is eight point something. So, I got 7 + 8 = 15 as the answer, but it was not in the option. I then assume that the frequency and score must be switched, but now I got \(\displaystyle \frac{291}{42}\) which is six point something, so the answer should be 10 + 15 + 5 = 30 which was not in the options either. Where did I go wrong?
 
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  • #2
Looking at the provided table, it appears the frequency and score are switched. Let's assume they are...

Using a weighted average, I get a mean score of:

\(\displaystyle \overline{x}=\frac{6\cdot5+6\cdot6+10\cdot7+15\cdot8+5\cdot9}{6+6+10+15+5}=\frac{301}{42}=\frac{43}{6}=7.1\overline{6}\)

It would appear 20 students scored higher than the mean. :D
 
  • #3
That means, still no answer?
 

FAQ: [ASK] Are the Frequency and the Score Switched?

1. Are the frequency and the score switched in data analysis?

No, the frequency and the score are not switched in data analysis. Frequency refers to the number of times a particular data point appears in a dataset, while score refers to a numerical value assigned to a data point. These two variables are often used together in data analysis, but they are not interchangeable.

2. Can the frequency and the score be used interchangeably in data analysis?

No, the frequency and the score cannot be used interchangeably in data analysis. While they are both important variables in analyzing data, they represent different aspects of the data and cannot be substituted for one another.

3. How do I calculate frequency and score in a dataset?

Frequency can be calculated by counting the number of times a particular data point appears in a dataset. Score, on the other hand, is typically calculated by assigning a numerical value to each data point based on a specific criteria or scoring system. The specific method for calculating frequency and score may vary depending on the type of data and the analysis being performed.

4. What is the relationship between frequency and score in data analysis?

Frequency and score are often used together in data analysis to better understand and interpret a dataset. Frequency can give insight into the distribution of data points, while score can provide a way to quantify and compare different data points.

5. Are there any common misconceptions about the frequency and score in data analysis?

One common misconception is that a higher frequency always corresponds to a higher score. This is not always the case, as the score may be based on a different set of criteria or factors than the frequency. It is important to carefully consider the meaning and context of both variables when analyzing data.

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