Ten years ago, an organization reported that teenagers spent an average of 4.5 hours per week on the phone. The organization thinks that the current mean is higher. To test the claim, fifteen randomly chosen teenagers were asked how many hours per week they spend on the phone. The sample mean was 4.75 hours with a sample standard deviation of 2.0. Suppose that an appropriate hypothesis test is conducted to test the claim that the mean hours is more than 4.5 hours per week. What is the Type I error

Type  I error would be a conclusion that average time spent on phone by teenager is higher than 4.5 hours per week which is actually the same.

Step-by-step explanation:

Type 1 error occurs when a null hypothesis is true but researcher rejects it.

Let be the average time spent on the phone by teenagers .

Here, Null hypothesis:

Alternative hypothesis :

So, Type  I error would be a conclusion that average time spent on phone by teenager is higher than 4.5 hours per week which is actually the same.

the highest percentage for deaths in construction from highest to lowest is as follows: falls, struck by objects, electrocution, and caught-in/between. these four are collectively known as fatal four.

in the case of falls, the type that is responsible for the overall highest death in the category is falls from roofs.