Statistics
posted by Anonymous .
A test is made of H0: mean = 27 versus H1: mean < 27. The true value of the mean is 27, and H0 is rejected. Is this a Type I error, Type II error, or a correct decision? How do I determine which is which???
Question 4 options:
1) Type II error
2) Type I error
3) Correct decision

This is definitly an error because Ho was rejected when it was true.
Google Type I and Type II errors and you will find the definition of each and then you will be able to figure out which error happened here.
Respond to this Question
Similar Questions

statics
If a court acquits every defendant, they will never commit a Type I error. A) True B) False 2. The probability of rejecting a true null hypothesis increases as the sample size increases. A) True B) False 3. For a given level of significance, … 
college
The diameter of a wire should be 8 cm. It follows a normal distribution and has a standard deviation of 0.01 cm. A person tests each delivery by taking 5 samples, accepting the goods only if the mean is at most 8.01 a) Find the probability … 
hypothesis testing
A researcher asks whether attending a private high school leads to higher or lower performance on a test of social skills when compared to students attending public schools. A sample of 100 students from a private school produces a … 
statistics
The power of a significance test for a particular value of the parameter is computed to be 0.93. Which statement below is true? 
statistics
According to CreditReport, the mean credit score in Georgia for 2007 was 668. Suppose that a hypothesis test is conducted to determine whether the mean credit score in Georgia has decreased since that time. Describe what a Type I error … 
statistics
2. We would like to test whether the population mean is less than 40. Suppose that a hypothesis test is conducted to determine if the mean of the population has decreased or not. Describe what a Type II error would mean for this example. … 
Quantitative Analysis
The circumstance where the Null Hypotheses is rejected when it is actually true is known as...? 
Statistics
When is there a risk of a Type II error? a. whenever H0 is rejected b. whenever H1 is rejected c. whenever the decision is "fail to reject H0" d. The risk of a Type II error is independent of the decision from a hypothesis test. 
Stats
In the past, the mean running time for a certain type of flashlight battery has been 9.8 hours. The manufacturer has introduced a change in the production method and wants to perform a hypothesis test to determine whether the mean … 
math/stats
Which of the following statements are true?