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
2(x+14) + 2(x) after using the distributive property will be 2x+28+2x. What I did to find this is multiply the number outside of the opening parentheses by everything inside of the pair of parentheses.
156 x 21%
156 x 0.21 = 32.76 so round to 32 since you cant make 0.76 of a shot
Answer:
Step-by-step explanation:
Daisy looks at the inequality and says I subtract from 12 and want a result that is bigger than 5.
This means that subtracted number should be smaller than .
Thus, the solutions to the inequality are all values of such that
You can solve the inequality in following way:
Answer:
Step-by-step explanation:
Even if I don't know the options I can give all the option that will be right for expending this. Just look at each step and see which one is one of the options.