Unit 4 Flashcards

Foundations of Inferential statistics (21 cards)

1
Q

What is the purpose of inferential statistics

A

lets us make conclusions about a larger population based on data from a smaller sample

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2
Q

What are 2 tests we can use to test if a variable has a normal distribution

A

histogram
box plot

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3
Q

How many scores on a normal distribution fall above the mean of 0 and below

A

50%

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4
Q

what percentage of scores fall between the mean and one standard deviation above or one standard deviation below

A

34%

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5
Q

what percentage of scores fall between -1 and +1 SD

A

68%

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6
Q

what percentage of scores fall between -2SD and +2SD from the mean

A

96%

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7
Q

Why do distributions of score in the behavioural and social sciences typically follow a normal curve

A

central limit theorem

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8
Q

What is the central limit theorem

A

if you take many random samples from a population and calculate their means those means will form a bell shaped distribution even if the original population is not normal

it means that sample means behave normally and predicatbaly even when the population does not

matehematical principle that the distribution of the sums (or means) of scores taken at random from any distribution of individuals will tend to form a normal curve

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9
Q

what is the empirical rule

A

68-95-99.7 rule
68% of the scores fall within one standard deviation of the mean
95% of the scores fall within 2 standard deviations of the mean
99.7% of the scores fall within 3 standard deviations of the mean

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10
Q

what pecentage of scores on a normal curve are between 1 and 2 SD above the mean

A

14%

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11
Q

what is the percentage of scores between +/-2 SD and +/-3 SD

A

2%

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12
Q

why are true random samples difficult to obtain

A

it is impossible to obtain a complete list of a population
not everybody selected agrees to participate
can be costly to track everyone down

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13
Q

what is a biased sample

A

when one or more parts of the population are favored over others

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14
Q

what are two types of biased sampling

A

convenience
voluntary response

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15
Q

What are three types of random sampling techniques

A

stratified random sample
multistage sampling
simple random sampling

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16
Q

what is stratified random sample

A

random sampling technique
take a random sample divide it into strata of similar people and take a random sample from each strata

17
Q

what is a multistage sample

A

random sampling technique
go through different stages to find your sample
ex. if you have 3 groups stage one would be picking a agroup. stage 2 would be to d another SRS
could use a random digits table to get your sample

18
Q

what is a simple random sample

A

each individual has an equal chance of being surveyed

19
Q

what is probability

A

expected relative frequency of a particular outcome

20
Q

Without using a normal curve table, about what percentage of scores on a normal curve are (a) between the mean and 2 SD above the mean (b) below 1 SD above the mean and (c) above 2 SD below the mean

A

a. 48%
b. 84%
c. 98%