Answer:
Step-by-step explanation:
Let x be the random variable representing the mean weight of Adult Golden Retrievers. Assuming the weights are normally distributed(number of samples is greater than 30), we would apply the formula,
z = (x - µ)/(σ/√n)
Where
x = sample mean
µ = population mean
σ = standard deviation
n = number of samples
From the information given,
µ = 64
σ = 8
n = 35
the probability that the sample mean will be less than 65.5 pounds is expressed as
P(x < 65.5)
For x = 65.5,
z = (65.5 - 64)/(8/√35) = 1.11
Looking at the normal distribution table, the probability corresponding to the z score is 0.8665
Therefore, the probability that the sample mean will be less than 65.5 pounds is 0.8665
Answer:
idk what the output would be but all u have to do is input -3 into where all the x's r and then solve it :)
Step-by-step explanation:
Answer:
It would be about $9
Step-by-step explanation:
you would round $10.80 to $11 because it says to estimate and then you do 20-11 which is 9 so the answer is $9
This is
(6(3)^-1 (-5)^0)^-3
= (6/3 * 1)^-3
= (2)^-3
= 1/8 Answer
Answer:
3.12 kg.
Step-by-step explanation:
Mass after t years:
The mass of the elements after t years is given by the following equation:
In which M(0) is the initial mass and r is the decay rate, as a decimal.
The half life of Cs-137 is 30.2 years.
This means that:
We use this to find r.
So
If the initial mass of the sample is 100kg, how much will remain after 151 years?
This is M(151), with M(0) = 100. So
The answer is 3.12 kg.