Answer :
- Count the total number of scores to find the number of students: 14.
- Count the number of scores that are 30 or above to find the number of students who can expect a good SAT test score: 4.
- The number of students who took the test is 14, and the number of students who can expect a good SAT test score is 4.
- The final answer is: $\boxed{14 \text{ students took the test and } 4 \text{ can expect a good score}}$.
### Explanation
1. Find the total number of students
First, we need to determine the total number of students who took the practice SAT test. We can find this by counting the number of scores provided in the data.
2. Count the total number of scores
The scores are: 5, 2, 5, 7, 10, 10, 4, 0, 10, 20, 30, 40, 50, 50. Counting these, we find that there are 14 scores. Therefore, 14 students took the test.
3. Find the number of students with scores of 30 or above
Next, we need to find out how many students can expect a good SAT test score. According to the Assistant Principal, a score of 30 or above predicts a good SAT test score. So, we need to count the number of scores that are 30 or greater.
4. Count the scores that are 30 or above
Looking at the scores again: 5, 2, 5, 7, 10, 10, 4, 0, 10, 20, 30, 40, 50, 50. The scores that are 30 or above are: 30, 40, 50, 50. There are 4 such scores. Therefore, 4 students can expect a good SAT test score.
5. State the final answer
So, 14 students took the test, and 4 of them can expect a good SAT test score. Comparing this to the given options, none of the options match our result. There seems to be an error in the provided options, or perhaps in the transcription of the data. Based on the data provided, the correct answer should be 14 students took the test and 4 of them can expect a good SAT test score.
### Examples
This type of problem is useful in educational settings to analyze student performance and predict future outcomes based on test scores. For example, a school administrator might use this to determine how many students are likely to succeed on a standardized test and allocate resources accordingly. It helps in making data-driven decisions to improve student outcomes.
- Count the number of scores that are 30 or above to find the number of students who can expect a good SAT test score: 4.
- The number of students who took the test is 14, and the number of students who can expect a good SAT test score is 4.
- The final answer is: $\boxed{14 \text{ students took the test and } 4 \text{ can expect a good score}}$.
### Explanation
1. Find the total number of students
First, we need to determine the total number of students who took the practice SAT test. We can find this by counting the number of scores provided in the data.
2. Count the total number of scores
The scores are: 5, 2, 5, 7, 10, 10, 4, 0, 10, 20, 30, 40, 50, 50. Counting these, we find that there are 14 scores. Therefore, 14 students took the test.
3. Find the number of students with scores of 30 or above
Next, we need to find out how many students can expect a good SAT test score. According to the Assistant Principal, a score of 30 or above predicts a good SAT test score. So, we need to count the number of scores that are 30 or greater.
4. Count the scores that are 30 or above
Looking at the scores again: 5, 2, 5, 7, 10, 10, 4, 0, 10, 20, 30, 40, 50, 50. The scores that are 30 or above are: 30, 40, 50, 50. There are 4 such scores. Therefore, 4 students can expect a good SAT test score.
5. State the final answer
So, 14 students took the test, and 4 of them can expect a good SAT test score. Comparing this to the given options, none of the options match our result. There seems to be an error in the provided options, or perhaps in the transcription of the data. Based on the data provided, the correct answer should be 14 students took the test and 4 of them can expect a good SAT test score.
### Examples
This type of problem is useful in educational settings to analyze student performance and predict future outcomes based on test scores. For example, a school administrator might use this to determine how many students are likely to succeed on a standardized test and allocate resources accordingly. It helps in making data-driven decisions to improve student outcomes.
