Final answer:
To calculate the 90% confidence interval for the proportion of all students at the college who have met with a counselor to develop an educational plan, divide the number of students who have met with a counselor by the total number of students in the sample. Calculate the standard error and the margin of error using the given formulas. Finally, construct the confidence interval.
Step-by-step explanation:
To calculate the confidence interval for the proportion of all students at the college who have met with a counselor to develop an educational plan, we can use the formula:
Confidence interval = sample proportion ± margin of error
The sample proportion is calculated by dividing the number of students who have met with a counselor by the total number of students in the sample:
Sample proportion = Number of students who have met with a counselor / Total number of students in the sample
The margin of error can be calculated using the formula:
Margin of error = Z * SE
Z is the z-score corresponding to the desired level of confidence, which is 90% in this case. SE is the standard error, which can be calculated using the formula:
SE = sqrt((sample proportion * (1 - sample proportion)) / sample size)
Plugging in the given values:
Sample proportion = 17 / 25 = 0.68
SE = sqrt((0.68 * (1 - 0.68)) / 25) = 0.09 (rounded to 2 decimal places)
Using a standard normal distribution table, the z-score for a 90% confidence level is approximately 1.645.
Therefore, the margin of error = 1.645 * 0.09 = 0.15 (rounded to 2 decimal places)
The confidence interval can now be calculated as:
Confidence interval = 0.68 ± 0.15
So, the 90% confidence interval for the proportion of all students at the college who have met with a counselor to develop an educational plan is approximately 0.53 to 0.83.