A sample of 92 observations is taken from a process (an infinite population). The sampling distribution of bar(x) is approximately normal because _____
Answer: A sample of 92 observations is taken from a process (an infinite population). The sampling distribution of bar(x) is approximately normal because of the central limit theorem.
Central Limit Theorem: The central limit theorem states that if you have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large (usually n > 30).
Answer:
($13,300,$46,900)
Step-by-step explanation:
We are given the following in he question:
Mean, μ = $30,100
Standard Deviation, σ = $5,600
Chebyshev's Theorem:
- According to theorem atleast
percent of data lies within 2 standard deviations of mean. - For k = 3,

Thus, 89% of data lies within three standard deviation of mean.

Thus, we expect at least 89% of new car prices to fall within ($13,300,$46,900)
Answer:
the answer here is C) translation, then reflection
Step-by-step explanation:
if you translate point P to point R and then translate across that point they map onto each other
Answer:
The answer is approximately 5.09 seconds.
Step-by-step explanation:
The given equation is:
f(x) = -5x^2 + 250
To find the elapsed time, x, set the equation equal to 120 and solve for x:
-5x^2 + 250 = 120
-5x^2 = -130
x^2 = -130/-5 = 26
x = Sqrt(26) = 5.09 seconds.