You operate a travel advisory website, and want to give your users advice on airline timeliness. you select 3 airlines, and monitor their delays at 5 airports. you record average delay times for each airline, at each airport. then, you run a 2-way anova and get the following partial result:
anova results
source of variance ss df ms f
airline 409
airport 238
error
total 686
(a) what is the f-static for variability associated with airlines?
(b) if you're testing for significant effects at the 0.01 level of significance, what would be the critical value of f for assessing the effect of airlines?
(c) is the effect of airlines significant at the 0.01 level of significance?
(d) is the effect of airports significant at the 0.01 level of significance?

all three statements are true

step-by-step explanation:

a shipping fee of 5% is charged online with every item purchased online

first let's just take each option and calculate them based on this, to see if the answers matched

keith buys a 40 dollar book

40 x 0.05 = 2

therefore there will be a two dollar fee on keith's book

40 + 2 =42

the first statement is true

a chair costs $80

80 x 0.05 = 4

80 + 4 = 84

the second statement is true

george buys a 20 dollar calculator

20 x 0.05 = 1

20 + 1 = 21

the third statements are true

all three statements are true

7.9m and 4.3°

step-by-step explanation:

let east be +x and north be +y, x = distance * cos θ, y = distance * sin θ  

for 3.5 south, y = -3.5  

for 8.2, x = 8.2 * cos 30 and y = 8.2 * sin 30  

for 15 west, x = -15  

total x = 8.2 * cos 30 – 15 ≈ -7.9  

total y = -3.5 + 8.2 * sin 30 = 0.6  

magnitude = [(8.2 * cos 30 – 15)^2 + 0.6^2)]^0.5  

the magnitude is approximately 7.9 m  

tan θ = y/x = 0.6/-7.9  

the angle is approximately 4.3˚ north of west

i need more details

step-by-step explanation: