Making sure I did this right.

Name	Gender	Age group	Daily Facebook time (in minutes)
Emily	Female	Adult	10
Ella	Female	Adult	10
Ava	Female	Adult	30
Charlotte	Female	Adult	30
Evelyn	Female	Adult	30
Madison	Female	Adult	30
Aria	Female	Adult	30
Chloe	Female	Adult	30
Grace	Female	Adult	40
Isabella	Female	Adult	50
Emma	Female	Adult	60
William	Male	Adult	10
Lucas	Male	Adult	10
Ethan	Male	Adult	10
Benjamin	Male	Adult	20
Mason	Male	Adult	20
Michael	Male	Adult	20
Jackson	Male	Adult	20
James	Male	Adult	30
Aiden	Male	Adult	40
Daniel	Male	Adult	60
Abigail	Female	Teen	10
Sophia	Female	Teen	20
Sofia	Female	Teen	30
Olivia	Female	Teen	40
Scarlett	Female	Teen	40
Mia	Female	Teen	50
Amelia	Female	Teen	50
Harper	Female	Teen	50
Avery	Female	Teen	50
Elizabeth	Female	Teen	60
Victoria	Female	Teen	60
Logan	Male	Teen	10
Samuel	Male	Teen	10
Liam	Male	Teen	20
Oliver	Male	Teen	20
Alexander	Male	Teen	20
Joseph	Male	Teen	20
Sebastian	Male	Teen	20
Noah	Male	Teen	30
Elijah	Male	Teen	40
Jacob	Male	Teen	40
Matthew	Male	Teen	40
Henry	Male	Teen	50

"Facebook usage".

Use Excel to do the following:

1. At the = 0.05 level of significance, determine whether there is evidence of population mean difference between males and females.

Females: sample mean = 36.82, sample variance = 251.299

Males: sample mean = 25.45, sample variance = 197.403

P-value = 0.016 < 0.05, so there is evidence of population mean Facebook usage difference between the females and males.

1. At the = 0.05 level of significance, determine whether there is evidence of population mean difference between adults and teens.

Adult: sample mean = 28.10, sample variance = 236.190

Teen sample mean = 33.181, sample variance = 260.822

P-value = 0.296 > 0.05, so there is no evidence of population mean Facebook usage difference between the adult and teens.

(Note: You can use either the p-value approach or the critical value approach. There is no need to do both.)