The weekly repair cost y for a machine has a probability density function given by f(y)={3(1−y)2,0,0≤y≤1otherwise. with measurements in hundreds of dollars. how much money should be budgeted each week for repair costs so that the actual cost will exceed the budgeted amount only 10% of the time? [hint: beta probabilities applet, or use the relationship to the binomial distribution.] 1

i would say c is the best answer, hope it's right!

good luck! =)

cutie~

im not sure

step-by-step explanation:

the data of the detroit pistons in numerical order from least to greatest is 0.30, 0.37, 0.55, 0.62, 0.69, 0.72, 0.73, 0.75, 0.77, 0.78, 0.80, 0.81, 0.81, 0.83, 0.84, 0.89

the data of the miami heat in numerical order from least to greatest is 0.50, 0.50, 0.56, 0.57, 0.67, 0.72, 0.72, 0.72, 0.75, 0.75, 0.76, 0.81, 0.82, 0.90, 1.00, 1.00

the detroit pistons median : 1.52

the miami heat median: 1.47

the iqr of this data is 0.05

ok then what happened.