The SAT is a standardized test used by many colleges and universities in their admission decisions. More than one million high school students take the SAT each year. A perfect score of all three parts of the SAT is 2400. The data set contains a sample of SAT scores for a graduating high school class. Using Excel, Show your work.
SAT Scores |
1665 |
1275 |
1650 |
1590 |
1475 |
1490 |
1525 |
2135 |
1560 |
1880 |
1680 |
1560 |
1355 |
1280 |
1150 |
1420 |
1440 |
940 |
1645 |
1060 |
1485 |
1755 |
1260 |
1390 |
1780 |
1585 |
1990 |
1375 |
1730 |
1175 |
1. Assuming SAT scores are normally distributed, compute the following?
P(SAT < 950) | |
P(SAT > 1350) | |
P(1000 < SAT < 2100) |
2. What SAT score would you need to be in the top 75%?
What SAT score would you need to be in the lowest 25%?
Top 75% | |
Lowest 25% |
3. Create a frequency and relative frequency distribution of the SAT scores. The first class should start at 800. Use class width of 200. Create a histogram of the frequency distribution.
Here is the R code I used for above:
Here is the histogram
Get Answers For Free
Most questions answered within 1 hours.