Hypothesis Tests: The t-Tests Flashcards

1
Q

What is a t-test

A

A statistical test that COMPARES THE MEANS OF TWO SAMPLES

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2
Q

What is the Null Hypothesis?

A

The hypothesis that assumes the POPULATIONS ARE IDENTICAL

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3
Q

If P<0.05

A

The results is against the null hypothesis

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4
Q

If P<0.01

A

Strong evidence the result is against the null hypothesis

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5
Q

If P<0.001

A

Very strong evidence the result is against the null hypothesis

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6
Q

If the null hypothesis is true what is the P value

A

P>0.05

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7
Q

What are the types of T-test

A

Unpaired and paired

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8
Q

How is the differences in data structure of the two data sets within the t-tests reflected

A

Reflected in the SE

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9
Q

What does a unpaired t test do

A

Compares two UNRELATED SAMPLES
such as a group of patients given saline or fentanyl

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10
Q

What assumptions are there with an unpaired t test?

A
  1. Each sample is drawn from a NORMAL POPULATION
  2. POPULATIONS HAVE A COMMON STANDARD DEVIATION
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11
Q

What is the null hypothesis for a unpaired t-test

A

The population means are the same

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12
Q

Can you still do a unpaired t-test when the populations are NON-NORMAL but departure from NORMALITY is SLIGHT

A

Yes as the violations of the ASSUMPTIONS are usually of little consequences

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13
Q

What does SDs being not equal relate to

A

The data being skewed

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14
Q

What is normal distribution characterised by

A

Standard Deviation and Mean
Therefore a test that assessed equality of means and pay no attention to the standard deviation. Therefore the best estimate of population mean draws on information from both samples and is a pooled estimate

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15
Q

What is a paired t test

A

Compares TWO RELATED SAMPLES

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16
Q

What does the Paired t test take into account

A

The pairing by FORMING THE DIFFERENCES BETWEEN EACH PAIR. Once the differences have been formed the original observations are discarded.

17
Q

What does the paired t test anaylse

A

ONLY THE DIFFERENCES BETWEEN EACH PAIR

18
Q

How to assess whether a SINGLE SAMPLE OF DIFFERENCES COMES FROM A POPULATION WITH MEAN ZERO

A

Paired t-test

19
Q

What is SE in an unpaired t test based on

A

Standard deviation which measures the VARIATION BETWEEN the two samples

20
Q

In a paired t test the act of taking the difference between two values from related samples would it expectedly remove

A

It removes the variation of standard error between the two samples from the data

21
Q

What will pairing the data in the lead to in a paired data

A

A more sensitive experiment

22
Q

How will the advantage of pairing the data be lost

A

If it is not reflected in the arithmetic used for the data analysis

23
Q

How will the correct precision be ascribed to the difference in means in a t test

A

The correct precision can only be ascribed of the APPROPRIATE SE for the paired data is used

24
Q

What is the Assumption in Paired t test

A

1.DIFFERENCES between the two related samples have to come from a NORMAL DISTRIBUTION.

(Normality not necessary to specify the distribution of the individual observations , just there Differences)

  1. MODEST departures from normality are not usually troublesome, like unpaired
25
Q

If 0 is included in a 95% confidence interval for the t-test what will the associated hypothesis test give

A

P>0.05

26
Q

If 0 is NOT included in a 95% confidence interval for the t-test what will the associated hypothesis test give

A

P <0.05

27
Q

If the null hypothesis (P>0.05) is TRUE where are the values in relation to the 95% confidence intervals

A

The values are within the 90
5 confidence interval are the values of X that are compatible with the data

28
Q

In a Paired test what does it not assume

A
  1. 2 Populations
    2, Normality in each populations
29
Q

In a paired test what does it assume

A

The differences are normally distributed

30
Q

In a unpaired t test what does it assume

A
  1. The two populations are normal
    2, Has a common standard deviation but does not assume eqaulity of SD estimates from the two samples