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EDA > Hypothesis > Flashcards

Hypothesis Flashcards

1
Q

It is an assumption about the population parameter.

A

hypothesis

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2
Q

It is a population mean or proportion.

A

Parameter

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3
Q

It must be identified before analysis.

A

Parameter

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4
Q

It states the assumption (numerical) to be tested.

A

Null Hypothesis

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5
Q

Begin with the assumption that the null hypothesis is ________.

A

TRUE

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6
Q

It refers to the status quo.

A

Null Hypothesis

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7
Q

True or False. The null hypothesis can only be rejected.

A

False (it may or may not be rejected)

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8
Q

It is the opposite of null hypothesis.

A

Alternative Hypothesis

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9
Q

It always contain the “=” sign.

A

Null hypothesis

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10
Q

It challenges the status quo.

A

Alternative Hypothesis

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11
Q

It never contain the “=” sign.

A

Alternative Hypothesis

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12
Q

True or False. The alternative hypothesis may or may not be accepted.

A

True

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13
Q

Steps in Identifying the Problem.

A
  1. State the Null Hypothesis
  2. State its opposite, the Alternative Hypothesis
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14
Q

They are mutually exclusive and exhaustive.

A

Hypothesis

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15
Q

True or False. We can accept both the null and alternative hypothesis.

A

False. only one of the two

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16
Q

It defines unlikely values of sample statistic if null hypothesis is true.

A

Level of Significance

17
Q

It is called the rejection region of sampling.

A

Level of Significance

18
Q

It is designated with the symbol alpha and its typical value are 0.01, 0.05, and 0.10.

A

Level of Significance

19
Q

It provides the critical value(s) of the test.

A

Level of Significance

20
Q

What type of error reject true null hypothesis?

A

Type I Error

21
Q

What is the probability of Type I error?

A

Level of Significance

22
Q

What type of error fails to reject the false null hypothesis?

A

Type II Error

23
Q

What is the probability of Type 2 Error?

A

Beta

24
Q

True or False. Alpha and Beta have an converse relationship.

A

False. converse - inverse

25
Q

What to do about the hypothesis if the z test statistic falls in critical region?

A

Reject Null Hypothesis, otherwise, do not reject

26
Q

It is the probability of obtaining a test statistic more extreme (greater than or equal or less than or equal) than Actual Sample Value and given that Null Hypothesis is True.

A

p Value Test

27
Q

It is called the observed level of significance.

A

p value

28
Q

It is used to make rejection decision.

A

p value

29
Q

If p value is greater than or equal to the level of significance, what do we do with the null hypothesis?

A

Do Not Reject Null Hypothesis

30
Q

If p value is less than the level of significance, what do we do with the null hypothesis?

A

Reject Null Hypothesis

EDA (5 decks)

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