For students who first enrolled in a two year public institution in 2013, the proportion who earned a bachelor's degree in six years was 0.236. The president of a certain college believes that the proportion of students who enroll in her institution have a higher completion rate. (a) Determine the null and alternative hypotheses.
(b) Explain what it would mean to make a Type I error.
(c) Explain what it would mean to make a Type II error.

H0 : p = 0.236

H1 : p > 0.236

Type 1 error is committed by incorrectly rejecting a true null hypothesis

Type 11 error is committed by incorrectly accepting a false null

Step-by-step explanation:

The null and alternative hypothesis :

H0 : p = 0.236

H1 : p > 0.236

A type 1 error is made when a null hypothesis is incorrectly rejected, Hence in this scenario, a type 1 error will be committed of we conclude that the proportion who earned bachelor's degree is more Than 0.236 when the actual proportion not more than but equal to 0.236

A type 11 error is committed when we fail to reject a false null hypothesis. This means that if the actual proportion who earned a bachelor's degree is more than 0.236 and we fail to reject the null which says the proportion is not more than 0.236

yes because there is exactly one y value for every x value

for function there can't be more than one value for every x value

f(x) = y

f(-3) = -5

step-by-step explanation: