Midterm Flashcards
(54 cards)
The median and mode of a normal distribution is equal to the mean (μ).
True
In a normal probability distribution, the probability of having a value greater than the mean, written as P(X > μ), is equal to 0.5000.
True
The standard normal distribution is a specific instance of the normal distribution with a mean (μ) of 1 and a standard deviation (σ) of 1.
False
The normal distribution is symmetrical around its mean, μ.
True
In a normal distribution, the standard deviation (σ) and the mean (μ) are always equal to each other.
False
In a normal probability distribution, the probability of having a value less than the one standard deviation below the mean, written as P(X < μ - σ), is equal to 0.1587.
True
After taking a statistics exam, a student is told that their exam had a z-score of -1.0. The instructor states that the exam scores follow a normal distribution with a mean (μ) of 75 and a standard deviation (σ) of 10. That is, if X is a random variable representing a score from the exam, then X ~ N(75, 102).
- The student’s score on the exam was 65.
- The student’s score on the exam was 1.0 standard deviation below the average score on the exam.
For a value x taken from a normal distribution with a known mean μ and known standard deviation σ, what formula would you use to calculate the associated z-score?
z = x - μ / σ
Approximately what proportion in a normal distribution will be within two standard deviations (σ) of the mean (μ)?
0.955, or 95.5%
Of the four normal distributions illustrated here, which one has the largest variance?
Curve A (the flattest one)
The Blue Ridge Caravan Company runs a regular shipping route from Charleston, WV to Arlington, WV. The number of hours that the route takes follows a normal distribution with a mean (μ) of 2.67 hours and a standard deviation (σ) of 0.22 hours. What is the z-score for a shipping route that takes 3.27 hours?
2.73
A study suggests that the daily average time that an 18-year old spends playing video games has a normal distribution with a mean (μ) of 2.5 hours and a standard deviation (σ) of 0.7 hours. An 18-year old, selected at random, tells you that the spend 2.6 hours per day, on average, playing video games. What is z-score corresponding to 2.6 hours per day?
0.14
For a normal distribution with mean μ and standard deviation σ, what is the probability of an observation greater than one standard deviation above the mean (shown below)?
0.1587
Corley Motors, a manufacturer of fine motorcycles, has a factory that assembles motorcycles to be delivered to dealerships for sale. The mean (μ) length of time for the assembly process for their flagship motorcycle is 76.5 minutes with a standard deviation (σ) of 7.3 minutes. A motorcycle is assembled and takes 79.9 minutes. What is the z-score corresponding to 79.9 minutes?
0.47
At the Slocum’s Joe chain of coffee and donut shops, the automated coffee machine fills 16oz coffee cups with an amount of coffee that follows a normal distribution with a mean (μ) of 15.80oz and a standard deviation (σ) of 0.12oz. The cup used for a 16oz coffee can only hold 16.10oz, at which point it overflows. What is the probability that the automated coffee machine fills a 16oz coffee past 16.10oz (thus, overflowing the cup)?
0.0062
For a normal distribution with mean μ and standard deviation σ, what is the probability of an observation between -1.5σ and 0.5σ (shown below)?
0.6247
Umbrella Pharmaceuticals is developing various new retro-viral therapies based on recent viral research. One of their test therapies, labeled Sample G, has a mean (μ) retro-viral doubling time of 155 seconds with a standard deviation (σ) of 20 seconds. Unfortunately, if the retro-viral doubling time of the sample is less than 110 seconds, it is deemed “out of control” and the sample has to be terminated. What is the probability that a test sample is deemed “out of control” and has to be terminated?
0.0122
For a normal distribution with mean μ = 0 and standard deviation σ = 1, what is the z-score corresponding to a lower-tail probability of .0500 (shown below)?
1.65
The standard normal distribution is a specific instance of the normal distribution with a mean (μ) of 0 and a standard deviation (σ) of 1.
True
In a normal probability distribution, the probability of having a value less than the one standard deviation below the mean, written as P(X < μ - σ), is equal to 0.8413.
False
The standard deviation of the sampling distribution (sometimes known as the Standard Error) is equal to the standard deviation of the population distribution divided by the square root of the sample size.
True
The shape of the sampling distribution is the same shape as the distribution of the population from which the was taken.
False
In a normal probability distribution, the probability of having a value between the mean and one standard deviation above the mean, written as P(μ < X < μ + σ), is equal to 0.3413.
True
When taking a sample from a population, a larger sample size will result in a larger variance of the sampling distribution.
False