Module 8 Flashcards

1
Q

What does a single sample t-test evaluate?

A
  • whether the mean of your sample is different from some reference value
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2
Q

What does a paired sample t test evaluate?

A

whether the difference in paired data is different from some reference value

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3
Q

What does a two sample t test evaluate?

A

whether the means of two groups are different from each other

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4
Q

What are the four steps for conducting a single sample t test?

A
  • define the null and alternative hypothesis
  • establish the null distribution
  • conduct the statistical test
  • draw scientific conclusions
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5
Q

What are the null and alternative distributions for a single sample t test?

A

are statements about how your sample mean related to the reference value

m=sample mean
u=reference value

if no directionality:
m=a (Ho)
m does not equal u (Ha)

if there is directionality
m>/=u or m</=u (Ho)
m>u or m<a (Ha)

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6
Q

How do you establish the null distribution for a single sample t test?

A

sampling from a statistical population that had a mean given by the reference (u) value, is a t distribution

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7
Q

How do you create a statistical test for a single sample t test?

A
  • done by comparing the Type I error (a) against the p value (p)

If the p-value is less that the Type I error rate (p<⍺), then we reject the null hypothesis.
If the p-value is greater than or equal to the Type I error rate (p≥⍺), then we fail to reject the null hypothesis.

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8
Q

How do you draw scientific conclusions for a single sample t test? What should it include.

A

Should include
* the sample mean and standard deviation
* the observed t score (two decimal places)
* degrees of freedom
* p value (three decimal places)

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9
Q

What are paired sample t tests designed to look at?

A

how sampling units change accross a factor. to accomplish this, two measurements are taken from each sampling unit; they may be taken at two points in time, or taken from two locations

THE TWO MEASUREMENTS COME FROM THE SAME SAMPLING UNIT

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10
Q

What are the four steps to conducting a paired sample t test?

A
  • define the null and alternative hypothesis
  • establish the null distribution
  • conduct the statistical test
  • draw scientific conclusions
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11
Q

What are the null and alternative hypothesis’ for a paired sample t test?

A
  • statements about how the difference between the paired measurements is related to the reference value
  • difference between the measurements: d
  • reference value: u
  • difference is calculated: d=x2-x1
  • x2: measurement including the factor of interest
  • x1=the measurement without the factor
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12
Q

Null and alternative hypothesis for paired sample t test if no directionality?

A

H0: d=μ

HA: d≠μ

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13
Q

Null and alternative hypothesis for paired sample t test if there is directionality?

A

H0: d≤μ (or d≥μ)

HA: d>μ (or d<μ)

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14
Q

How do you establish the null distribution for a paired sample t test?

A

sampling from a statistical population where the true difference between the paired measurements was given by the reference value (u). a t-distribution

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15
Q

How do you find the degrees of freedom for a paired sample t test?

A

df=n-1

n=the number of differences/sampling units

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16
Q

What is the relationship between the p value and type 1 error rate?

A

If the p-value is less that the Type I error rate (p<⍺), then we reject the null hypothesis.

If the p-value is greater than or equal to the Type I error rate (p≥⍺), then we fail to reject the null hypothesis.

17
Q

How do you report a scientific conclusion for a paired sample t test?

A
  • the mean difference between the paired measurements, and the standard deviation of the differences
  • the observed t score (two decimal places)
  • degrees of freedom
  • p-value (three decimal places)
18
Q

What does it mean if we reject the null hypothesis for a paired sample t test?

A

the sample data provide strong evidence that the difference between the paired measurements is different from the reference value

19
Q

What does it mean if we fail to reject the null hypothesis?

A

the sample data do not provide strong evidence that the difference between the paired measurements is different from the reference value

20
Q

What is the distinguishing characteristic of a two sample t test?

A

the sampling units in one group are independent from the sampling units in the other groups (this is why this test is also called the independent sample t test)

21
Q

What are the four steps when conducting a two sample t test?

A
  • define the null and alternative hypothesis
  • establish the null distribution
  • conduct the statistical test
  • draw scientific conclusions
22
Q

What is the null and alternative hypothesis for a two sample t test if there is no directionality?

A

m1= the sample mean of the first group
m2=the sample mean of the second group

H0: m1=m2

HA: m1≠m2

23
Q

What is the null and alternative hypothesis for a two sample t test if there is directionality?

A

m1= the sample mean of the first group
m2=the sample mean of the second group

H0: m1≤m2 (or m1≥m2)

HA: m1>m2 (or m1<m2)

24
Q

How do you establish the null distribution for a two sample t test?

A

the null distribution for a two sample t test is the distribution of differences between the group means that you would get from sampling a statistical population where the null hypothesis was true

since the null hypothesis is that the group means are equal, the corresponding statistical population is one where you still sample from two groups, but each group has the same sample mean

25
Q

How do you conduct the statistical test for a two sample t-distribution?

A

done by comparing the Type I error rate (a) against the p-value

26
Q

What do you need to include in the scientific conclusion for a two sample t-test?

A
  • the mean, standard deviation, and sample size for each group
  • the observed t score (two decimal places)
  • degrees of freedom
  • p-valie (three decimal places