Podcast
Questions and Answers
Which of the following is NOT a characteristic of a normal distribution?
Which of the following is NOT a characteristic of a normal distribution?
- Bell-shaped curve
- Symmetrical distribution
- Mean, median, and mode are all equal
- Has a range of negative infinity to positive infinity (correct)
A student measures the height of all the trees in a park. Which type of random variable is the height of a tree?
A student measures the height of all the trees in a park. Which type of random variable is the height of a tree?
- Discrete random variable
- Normal random variable
- Continuous random variable (correct)
- Standard normal random variable
Which of the following statements about a standard score is TRUE?
Which of the following statements about a standard score is TRUE?
- It is always a positive value.
- It represents the number of standard deviations a value is away from the mean. (correct)
- It is only used for normal distributions.
- It is always less than 1.
What is the relationship between the mean and standard deviation of a normal distribution?
What is the relationship between the mean and standard deviation of a normal distribution?
Which of the following is an example of a discrete random variable?
Which of the following is an example of a discrete random variable?
Flashcards
Random Variable
Random Variable
A set of numbers assigned to outcomes of an experiment.
Normal Distribution
Normal Distribution
The distribution of a continuous random variable, bell-shaped.
Standard Score
Standard Score
Indicates how many standard deviations a value is from the mean.
Discrete Random Variable
Discrete Random Variable
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Continuous Random Variable
Continuous Random Variable
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Study Notes
Random Variables
- A random variable assigns numerical values to experiment outcomes.
- A continuous random variable's distribution can be bell-shaped (normal distribution).
- A discrete random variable's values often result from counting.
- A continuous random variable's values often result from measurements.
Normal Distribution
- A normal distribution's graph is bell-shaped.
- A standard normal distribution has a mean of 0 and standard deviation of 1.
- A normal curve is a bell-shaped curve.
Standard Score
- A standard score indicates how many standard deviations a value is from the mean.
Measures of Central Tendency
- The mean measures the central location of a random variable.
Empirical Rule
- The Empirical Rule (68-95-99.7% rule) describes the proportion of data within certain standard deviations of the mean in a normal distribution.
Examples of Random Variables
- Time spent on social media by a high school student is a continuous random variable.
- Employee salary is a continuous random variable.
- Calories in a sandwich are a discrete random variable.
- Number of children in a family is a discrete random variable.
- Number of tails when tossing a coin twice is a discrete random variable.
Variance
- Variance can be calculated by averaging the squared deviations from the mean, weighted by their probabilities.
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