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.

use google you idiot omg you're so annoying

step-by-step explanation:

answer:

payment just for service  

→

$

87.12

payment for service including tax

→

$

94.09

explanation:

service only with 20% tip  

→

$

72.6

(

1

+

20

100

)

=

$

87.12

in the opening of the question the word 'service' is associated only with the pretax value.

the closing part of the question asks: how much did she pay for the  

service

−−−−−−  

so technically the answer is  

→

$

72.6

(

1

+

20

100

)

=

$

87.12

however, the intention of the question provider may have been that your answer is to be  

$

87.12

(

1

+

8

100

)

=

$

94.09

to 2 decimal places.

'

payment just for service  

→

$

87.12

payment for service including tax

→

$

94.09

tony b

mar 21, 2017

answer:

trying to explain it another way

explanation:

service charge  

.

→

$

72.60

20% tip  

20

100

×

$

72.60

=

$

14.52

−−−−−−  

←

add

$

87.12

tax  

8

100

×

$

87.12

=

$

6.97

−−−−−  

←

add

$

94.09

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