Children below the 30th percent are in need of special assistance assistance what raw score makes the cut off score for these children?
What is the highest raw score possible?
Is that the lowest 30th percentile? Or is it the lowest 30 percent of the total score?
I guess 100 is the highest the mean is 30.9 and the standard deviation 2.08 it just says children below the 30th percentile
Z = (score-mean)/SD
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion (.30) and its Z score. (Pay attention to the sign.) Insert Z and other values in equation above to find the cutoff score.
Please advise-Thank you.
The Center for Urban Transportation research released a report stating that the average commuting distance in the United States is 10.9 miles Suppose that this average is actually the mean of a sample of 300 commuters and that the sample deviation was 6.2 mi. Estimate the true mean commuting distance using a 99% confidence interval.
To determine the raw score that corresponds to the cut-off score for children below the 30th percentile, you will need access to a dataset or information containing the distribution of scores for a specific assessment or test.
Here's how you can find the raw score corresponding to the 30th percentile:
1. Collect the raw scores of all children who took the assessment or test.
2. Arrange the raw scores in ascending order, from the lowest to the highest.
3. Calculate the total number of scores in the dataset.
4. Calculate the 30th percentile using the formula: (30/100) * (total number of scores + 1). This will give you the rank corresponding to the 30th percentile.
5. If the rank obtained from the formula is an integer, the corresponding raw score will be the score itself. If the rank is a decimal value, you will need to interpolate the score between the two closest ranks.
- For example, if the rank is 17.5, it means the raw score lies between the raw scores of the 17th and 18th child. You can use the interpolation formula to estimate the cut-off raw score.
6. Once you determine the rank or interpolated rank, find the corresponding raw score in the dataset.
It's important to note that without specific data or context, it's not possible to provide an exact answer in this case. You would need access to the raw scores of the children to calculate the cut-off score accurately.