Inferential statistics and hypothesis testing Flashcards

1
Q

if the sampling distribution of a sample statistic has a mean equal to the population parameter that the statistic is intended to estimate, what is said of the statistic?

A

it is an unbiased estimate of the parameter

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2
Q

if the mean of the sampling distribution is not equal to the parameter, what is said of the statistic?

A

it is a biased estimate of the parameter

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3
Q

what is the standard deviation of the sampling distribution?

A

standard deviation of sampled population / square root of sample size

(sampling error)

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4
Q

what are the two types of inferential statistics?

A
  1. estimation

2. hypothesis testing

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5
Q

definition: confidence interval

A

provides a range of plausible values for the population parameter

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6
Q

what are the conditions required for a valid confidence interval for u?

A
  1. random sample

2. large sample size

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7
Q

when do you use Student’s t statistic?

A

when you do not know what the standard deviation of the population is

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8
Q

what is the main difference between the sampling distributions of t and z?

A

t statistic is more variable than the z statistic

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9
Q

what is described by degrees of freedom?

A

actual amount of variability in the sampling distribution

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10
Q

how is the reliability associated with a confidence interval for the population mean expressed?

A

sampling error (margin of error)

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11
Q

definition: type I error

A

occurs if researcher rejects the null hypothesis in favor of the alternative hypothesis when in fact the null hypothesis is true

denoted by alpha

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12
Q

definition: type II error

A

occurs if the researcher accepts the null hypothesis when, in fact, the null hypothesis is false

denoted by beta

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13
Q

definition: p value

A

observed significance level for a specific statistical test is the probability of observing a value of the test statistic that is at least as contradictory to the null hypothesis, and supportive of the alternative hypothesis, as the actual one computed from the sample data

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14
Q

the p value is compared to what other value when determining whether or not to reject the null hypothesis?

A

alpha (type I error value)

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15
Q

what conditions are required for a valid hypothesis test for u?

A
  1. random sample

2. large sample size

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16
Q

when determining confidence, is the confidence in the testing process or the result of a single test?

A

testing process