<span>$5.04 / 12 = 0.42 cents per soda</span>
Answer:
<h2>49</h2>
Step-by-step explanation:
<h3>[(5 + 4) + (7 - 3) × (2 + 8)] = ?</h3><h3>[9 + 4 × 10] = ?</h3><h3>9 + 40 = ?</h3><h3>49</h3><h3 />
10 units and 9 9 units squared
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:
The answer is 0.75 and 75%