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:
1250 p² x¹² y³z⁶m⁵
Step-by-step explanation:
5x²y³z⁵m²(-2p²m³zx⁴)(-5x²)³
5x²y³z⁵m²(-2p²m³zx⁴)(-125x⁶)
5x²y³z⁵m²(250p²m³zx¹⁰)
1250 p²x¹²y³z⁶m⁵
I think b not sure it’s the only one that makes sense
Y= -7/15
Hope this is good enough :D
