Aresearcher wants to determine whether the number of minutes adults spend online per day is related to gender. a random sample of 315 adults was selected and the results are shown below. calculate the chi-square test statistic x2 to determine if there is enough evidence to conclude that the number of minutes spent online per day is related to gender. minutes spent online per day gender 0-30 30-60 60-90 90+male 75 45 25 35 female 30 45 45 15 a) 19.874 b) 18.146 c) 20.912 d) 21.231

There is enough evidence to conclude that the number of minutes spent online per day is related to gender

Step-by-step explanation:

Given that a researcher wants to determine whether the number of minutes adults spend online per day is related to gender. A random sample of 315 adults was selected and the results are shown below.

Gender     0-30   30-60   60-90    90+    total

Males         75         45         25       35       180

Females     30         45         45        15       135

H0: there is no association between gender and spending time online

Ha: There is association

(Two tailed test)

Expected for each cell is calculated as row total*grand total/column total

<3030-6060-90>90  Row Totals

Males75  (60.00)  [3.75]45  (51.43)  [0.80]25  (40.00)  [5.62]35  (28.57)  [1.45]  180

Females30  (45.00)  [5.00]45  (38.57)  [1.07]45  (30.00)  [7.50]15  (21.43)  [1.93]  135

chi square -= 27.125

p value <0.0001

Since p is less than 1% (significance level) we reject the null hypothesis

There is enough evidence to conclude that the number of minutes spent online per day is related to gender

its 50 miles away from the starting point

c.

step-by-step explanation:

she should of added 9^2 and 12^2. that is because it is a^2+b^2=c^2. c^2 is the hypotenuse and should always be bigger than the other two numbers. which is why she should of added 9 squared and 12 squared together instead of 15 squared.