Stats Ch. 6 - Probability, Normal Distribution, adn z scores

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27 Terms

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empirical rule
(68% of scores lie in 1 SD, 95% of scores lie in 2 SD, 99.7% of scores lie in 3 SD)

When data in the population are normally distributed, we use the _____ ____ to determine the probability of an outcome in a research study.

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1. ND is mathematically define (by formula)
2. ND is theoretical (bc behavioral data rarely conforms excatly to ND)
3. Mean, median, mode all located at 50th percentile (half data above/below)
4. ND is symmetrical
5. Mean can equal any value (any # from positive to neg infinity)
6. SD can equal any positive value greater than 0
7. Total area under curve of ND is equal to 1.00 (50% above & below so 1.00)
8. Tails of a ND are asymptotic (tails always approaching x-axis as traveling away from mean but never touch it, allowing for the possibility of outliers in a ND)

8 characteristics of a normal distribution:

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-95% of scores in a ND will fall within 2 SD of the mean
-the 5% that fall outside of 2 SD are consider "not normal" bc they fall far from the mean

what is considered the statistical norm?

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standard normal distribution

the likelihood of obtaining a score in any normal distribution; all other normal distributions can be converted to this using z transformation

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standard normal distribution

Converting a score in any normal distribution to a z score will give you the position of that score in the _____ _____ _____

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z score

a standard deviation, tells you the # of SDs that a score deviates from the mean in that distribution

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population z-score formula

z = (x - μ)/σ

μ is population mean
σ is population SD

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sample z-score formula

z = (x-x̄)/SD

x̄ is sample mean

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standard normal distribution/z-scores

mean of 0, Sd of 1

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z-score

a value on the x-axis of the z distribution that specifies the distance from the mean in SDs

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z-score

We can find the probability of obtaining a score when we know its _____ in the standard normal distribution

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unit normal table

The proportion of area or probability of z-scores in the standard normal distribution is listed in the ___ _____ ____

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columns A, B, and C

to read the z table, we use what 3 columns?

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column A

list only positive z scores

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column B

lists the area b/w a z score and the mean

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identical

a proportion associated with a z score above the mean is _____ to that below the mean bc z distribution is symmetrical

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increases

As a z score is farther from the mean, the area under the curve b/w that z score and the mean _____

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column C

Lists the area from a z score toward the tail

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decreases

As a z score is farther from the mean, the area under the curve b/w that z score and the tail _____

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1. transform a raw score into a z score
2. locate the corresponding proportion for the z score in the unit normal table

what 2 steps do we follow to locate the proportion, or probability, of a score in any normal distribution?

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1. locate a z score associated with a given proportion in the unit normal table
2. transform the z score into a raw score

what two steps do we follow to locate the raw score in a normal distribution based on the probability of that score occurring?

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real limits

The upper and lower values within which the probability of obtaining a binomial outcome is contained. The real limits for a binomial outcome, x, are x ± 0.5

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binomial outcome/distribution

a type of distribution that has two possible outcomes.
For example, a coin toss has only two possible outcomes: heads or tails and taking a test could have two possible outcomes: pass or fail.

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A Binomial Distribution

shows either (S)uccess or (F)ailure.

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a smaller probability of occurence

larger z scores are associated with what?

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to determine the distance that a score deviates from the mean and the probability of its occurrence

we can use z scores for what?

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the z distribution is symmetrical so any proportion in the positive tail of the distribution will be mirrored in the negative tail
-if the value is negative, the proportion is on left or bottom half of distribution

only positive values are listed in the unit normal table why?