STA220- Module 7 Normal Distribution/A Continuous Random Variable

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Statistics

9 Terms

1

What are density curves?

A smooth curve that may fit on the histogram

  • is always above the horizontal axis

  • has area exactly 1 underneath it

  • describes the pattern of a distribution

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2

What is a normal model/normal distribution?

Smooth continuous curves that are symmetric unimodal bell-shaped curves; describe normal distribution

  • have the same overall shape

  • the mean is located at the centre of the symmetric curve and is the same as the median (and mode)

  • standard deviation controls the spread of a normal curve

<p>Smooth continuous curves that are symmetric unimodal bell-shaped curves; describe normal distribution</p><ul><li><p>have the same overall shape</p></li><li><p>the mean is located at the centre of the symmetric curve and is the same as the median (and mode)</p></li><li><p>standard deviation controls the spread of a normal curve</p></li></ul>
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3

Why are normal distributions an important model of probability distribution?

  1. They approximate well the reall world distributions of variables

  2. They are the most important distribution for statistical inference

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4

What is the standard normal model?

Standardize the data values first using the mean and standard deviation

Then, use the model Z ~ N (0,1)

Normal model with mean zero and standard deviation 1

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5

What are the z-scores in the empirical rule?

Z-score is a measure of position that tells us how many standard deviations and observation (y-value) is away from the mean

  • expresses in units of standard deviation

  • Z has mean 0, and standard deviation 1

  • if data comes from a normal distribution! Z ~ N (mean = 0, SD = 1)

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6

What happens when the number is too high for the z table?

We would need a larger sample if the probability of a success were very low or very high

Binomial model is approximately normal if we expect at least 10 success and 10 failures

np > 10 and n (1-p) > 10

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7

What is a normal probability plot?

Scatterplot of n ordered pairs (x,y)

  • x axis is expected standard normal observations (in order from smallest to largest)

  • y axis is z-scores of the observations

  • plot should look like a straight line with positive slope (should not be s-shaped)

  • can be a bit wobbly in the tails

  • if points in the plot lie close to a straight line then the plot indicates that the data appear to have come from a normal distribtion

<p>Scatterplot of n ordered pairs (x,y)</p><ul><li><p>x axis is expected standard normal observations (in order from smallest to largest)</p></li><li><p>y axis is z-scores of the observations </p></li><li><p>plot should look like a straight line with positive slope (should not be s-shaped)</p></li><li><p>can be a bit wobbly in the tails</p></li><li><p>if points in the plot lie close to a straight line then the plot indicates that the data appear to have come from a normal distribtion</p></li><li><p></p></li></ul>
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8

Right skewed distribution

<p></p>
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9

Left skewed distribution

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