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
To me, the pattern is that B is always 5 more than A. So if N is 15, then the answer will be 20. Hope I could help
Answer:
→ Option (b) 6¹⁰/7⁶ is correct answer.
Step-by-step explanation:
Simply: (6⁵/7⁶)²
=> 6¹⁰/7⁶.
Answer:
obtuse scalene
Step-by-step explanation: