Term
| What are the three properties of a standard normal distribution? |
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Definition
1. Its graph is bell-shaped
2. It's mean is equal to 0 (μ=0)
3. It's standard deviation is equal to 1 (σ=1) |
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Term
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Definition
| A continuous random variable has a uniform distribution if its values are spread evenly over the range of probabilities. The graph of a uniform distribution results in a rectangular shape. |
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Term
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Definition
The graph of a continuous probability distribution. It must satisfy the following properties:
1. The total area under the curve must equal 1.
2. Every point on the curve must have a vertical height that is 0 or greater. (That is, the curve cannot fall below the x-axis). |
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Term
| What are good sample estimators of the population? |
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Definition
Mean
Standard deviation (not perfect)
Proportion
Variance (σ²) → use this is possible
NOT a good estimator?
Median
Range |
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Term
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Definition
1. The random variable x has a distribution of the mean (μ), and the standard deviation (σ).
2. Simple random samples of all sizes n are selected from the population.
Conclusions?
1. As sample size increases → approach normal distribution.
2. Mean of the sample is the mean of the population (μ)
3. Standard deviation of all sample means is σ/square root of n. |
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Term
| In a normal distribution, when is a value considered unusually high? |
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Definition
| When P(x or more) is 0.05 |
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