Module 4 Hypothesis Testing Flashcards

Hypothesis Testing

1
Q

What is a research hypothesis?

A

a statement of expectation or prediction that will be tested by research (or a question)

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2
Q

What do research hypotheses look at and how?

A

The differences in groups by comparing the means of each group.

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3
Q

What are the 5 steps of Hypothesis Testing?

A
  1. State the null hypothesis
  2. Select the level of significance
  3. Choose the appropriate statistical test
  4. Obtain a p-value
  5. Make a decision about the null hypothesis
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4
Q

What does null mean?

A

There is no difference or everything is equal

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5
Q

What is a null hypothesis?

A

A statement of no difference between
groups or no relationship among variables

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6
Q

When do you make a null hypothesis?

A

Before your research; start by saying the groups are equal/the same

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7
Q

What is being determined when finding the level of significance?

A

if the difference in the means is large enough to say it is a “significant” difference

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8
Q

When is the level of significance usually set?

A

Before the study begins

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9
Q

What are the most common levels of significance and which one will we use?

A

0.05 and 0.01
We use 0.05

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10
Q

How do you choose which statistical test to use?

A
  1. The research hypotheses
  2. The number of independent and dependent variables
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11
Q

What is a p-value?

A

The probability that the difference or
the relationship you found is due to chance (or the probability that the null hypothesis should be accepted)

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12
Q

What is the decision if the p-value is small?

A

The difference or the relationship
is real (significant)

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13
Q

What is the decision if the p-value is large?

A

The difference or the relationship
is due to chance (not significant)

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14
Q

If your p-value is less than or equal to your alpha you…

A

reject the null hypothesis – the difference or relationship is significant

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15
Q

If your p-value is greater than your alpha you…

A

accept the null hypothesis – the difference or relationship is due to chance and not significant

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16
Q

What is Type 1 error?

A

Rejecting the null hypothesis when it is
true

17
Q

What is Type 2 error?

A

Accepting the null hypothesis when it is false

18
Q

How do we control Type 1 error?

A

With the alpha level (0.05 is safe)

19
Q

True or False?
A lower alpha, decreases our chance of Type 2 error.

A

False. A lower alpha, INCREASES our chance of Type 2 error.

20
Q

True or False?
Significance and meaningfulness mean the same thing.

A

False. Just because you find a significant difference or a significant relationship, that does not mean the result is meaningful.

21
Q

What is the definition of meaningfulness?

A

Does the statistical difference/relationship mean anything in the REAL WORLD?

22
Q

What are the 5 statistical tests?

A
  1. Independent T-test
  2. Dependent T-test
  3. One-way ANOVA
  4. Two-way ANOVA
  5. Two-way ANOVA with repeated measure
23
Q

Describe the Independent Variable, Groups, and Dependent Variable of an INDEPENDENT T-TEST

A

Independent - 1
Group(s) - 2
Dependent -1

24
Q

Describe the Independent Variable, Groups, and Dependent Variable of a DEPENDENT T-TEST

A

Independent - 1
Group(s) - 1
Dependent - 2

25
Q

Describe the Independent Variable, Groups, and Dependent Variable of a ONE-WAY ANOVA

A

Independent - 1
Group(s) - 2+
Dependent - 1

26
Q

Describe the Independent Variable, Groups, and Dependent Variable of a TWO-WAY ANOVA

A

Independent - 2
Group(s) - 2+
Dependent - 1

27
Q

Describe the Independent Variable, Groups, and Dependent Variable of a TWO-WAY ANOVA WITH REPEATED MEASURE

A

Independent - 1
Group(s) - 2+
Dependent - 2+