Answer:
Step-by-step explanation:
We would set up the hypothesis test. This is a test of a single population mean since we are dealing with mean
For the null hypothesis,
µ ≥ 50000
For the alternative hypothesis,
µ < 50000
Since the population standard deviation is given, z score would be determined from the normal distribution table. The formula is
z = (x - µ)/(σ/√n)
Where
x = lifetime of the tyres
µ = mean lifetime
σ = standard deviation
n = number of samples
From the information given,
µ = 50000 miles
x = 45800 miles
σ = 8000
n = 29
z = (50000 - 45800)/(8000/√29) = - 2.83
Looking at the normal distribution table, the probability corresponding to the z score is 0.9977
Since alpha, 0.05 < than the p value, 0.9977, then we would accept the null hypothesis. Therefore, At a 5% level of significance, the data is not highly consistent with the claim.
Answer:
1) 678.24
2)366.333.... repeating
3) 254.34
Step-by-step explanation:
1) 3.14 x 6² = 113.04 ---> 113.04 x 6 = 678.24
2) 3.14 x 5² = 78.5 ---> 78.5 x 14 = 1099 ---> 1099/3 = 366.333.... repeating
3) 3.14 x 9² = 254.34
Answer:
c
Step-by-step explanation:
you have to set them up as a fraction and see if they are an equivalent fraction and if they are thats the proportion
Answer:b
Step-by-step explanation:
f(x)=x^3+2x^2-5x-6
Put x= -3 in the equation
f(-3)=-3^3+2*3^2-5*3-6
= -27+18+15-6= 0
f(2)= 2^3+2*2^2-5*2-6
=8+8-10-6= 0
1.)9+9+4+4=26 that is what I got
