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Statistics for Machine Learning > 4. Inferential Statistics > Flashcards

4. Inferential Statistics Flashcards

Principles of inferential Statistics

1
Q

What is inferential statistics?

A

A branch of statistics used to draw conclusions about populations from sample data.

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2
Q

What is a confidence interval?

A

A range of values within which a population parameter is estimated to lie.

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3
Q

What is a null hypothesis?

A

A statement that there is no effect or no difference.

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4
Q

What is an alternative hypothesis?

A

A statement suggesting a real effect or difference.

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5
Q

What is a Type I error?

A

Rejecting a true null hypothesis (false positive).

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6
Q

What is a Type II error?

A

Failing to reject a false null hypothesis (false negative).

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7
Q

What is a p-value?

A

The probability of obtaining results at least as extreme as the observed data under the null hypothesis.

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8
Q

What is a t-test used for?

A

Comparing means between two groups.

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9
Q

What is an ANOVA test?

A

A statistical test for comparing means among multiple groups.

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10
Q

What is a chi-square test used for?

A

Testing independence between categorical variables.

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11
Q

What is inferential statistics?

A

A branch of statistics used to draw conclusions about populations from sample data.

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12
Q

What is a confidence interval?

A

A range of values within which a population parameter is estimated to lie.

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13
Q

What is a null hypothesis?

A

A statement that there is no effect or no difference.

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14
Q

What is an alternative hypothesis?

A

A statement suggesting a real effect or difference.

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15
Q

What is a Type I error?

A

Rejecting a true null hypothesis (false positive).

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16
Q

What is a Type II error?

A

Failing to reject a false null hypothesis (false negative).

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17
Q

What is a p-value?

A

The probability of obtaining results at least as extreme as the observed data under the null hypothesis.

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18
Q

What is a t-test used for?

A

Comparing means between two groups.

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19
Q

What is an ANOVA test?

A

A statistical test for comparing means among multiple groups.

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20
Q

What is a chi-square test used for?

A

Testing independence between categorical variables.

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21
Q

What is inferential statistics?

A

A branch of statistics used to draw conclusions about populations from sample data.

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22
Q

What is a confidence interval?

A

A range of values within which a population parameter is estimated to lie.

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23
Q

What is a null hypothesis?

A

A statement that there is no effect or no difference.

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24
Q

What is an alternative hypothesis?

A

A statement suggesting a real effect or difference.

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25
Q

What is a Type I error?

A

Rejecting a true null hypothesis (false positive).

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26
Q

What is a Type II error?

A

Failing to reject a false null hypothesis (false negative).

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27
Q

What is a p-value?

A

The probability of obtaining results at least as extreme as the observed data under the null hypothesis.

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28
Q

What is a t-test used for?

A

Comparing means between two groups.

How well did you know this?
1
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2
3
4
5
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29
Q

What is an ANOVA test?

A

A statistical test for comparing means among multiple groups.

How well did you know this?
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2
3
4
5
Perfectly
30
Q

What is a chi-square test used for?

A

Testing independence between categorical variables.

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31
Q

What is inferential statistics?

A

A branch of statistics used to draw conclusions about populations from sample data.

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32
Q

What is a confidence interval?

A

A range of values within which a population parameter is estimated to lie.

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33
Q

What is a null hypothesis?

A

A statement that there is no effect or no difference.

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34
Q

What is an alternative hypothesis?

A

A statement suggesting a real effect or difference.

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35
Q

What is a Type I error?

A

Rejecting a true null hypothesis (false positive).

How well did you know this?
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36
Q

What is a Type II error?

A

Failing to reject a false null hypothesis (false negative).

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37
Q

What is a p-value?

A

The probability of obtaining results at least as extreme as the observed data under the null hypothesis.

How well did you know this?
1
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2
3
4
5
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38
Q

What is a t-test used for?

A

Comparing means between two groups.

How well did you know this?
1
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2
3
4
5
Perfectly
39
Q

What is an ANOVA test?

A

A statistical test for comparing means among multiple groups.

How well did you know this?
1
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2
3
4
5
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40
Q

What is a chi-square test used for?

A

Testing independence between categorical variables.

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41
Q

What is inferential statistics?

A

A branch of statistics used to draw conclusions about populations from sample data.

42
Q

What is a confidence interval?

A

A range of values within which a population parameter is estimated to lie.

43
Q

What is a null hypothesis?

A

A statement that there is no effect or no difference.

44
Q

What is an alternative hypothesis?

A

A statement suggesting a real effect or difference.

45
Q

What is a Type I error?

A

Rejecting a true null hypothesis (false positive).

46
Q

What is a Type II error?

A

Failing to reject a false null hypothesis (false negative).

47
Q

What is a p-value?

A

The probability of obtaining results at least as extreme as the observed data under the null hypothesis.

48
Q

What is a t-test used for?

A

Comparing means between two groups.

49
Q

What is an ANOVA test?

A

A statistical test for comparing means among multiple groups.

50
Q

What is a chi-square test used for?

A

Testing independence between categorical variables.

51
Q

What is inferential statistics?

A

A branch of statistics used to draw conclusions about populations from sample data.

52
Q

What is a confidence interval?

A

A range of values within which a population parameter is estimated to lie.

53
Q

What is a null hypothesis?

A

A statement that there is no effect or no difference.

54
Q

What is an alternative hypothesis?

A

A statement suggesting a real effect or difference.

55
Q

What is a Type I error?

A

Rejecting a true null hypothesis (false positive).

56
Q

What is a Type II error?

A

Failing to reject a false null hypothesis (false negative).

57
Q

What is a p-value?

A

The probability of obtaining results at least as extreme as the observed data under the null hypothesis.

58
Q

What is a t-test used for?

A

Comparing means between two groups.

59
Q

What is an ANOVA test?

A

A statistical test for comparing means among multiple groups.

60
Q

What is a chi-square test used for?

A

Testing independence between categorical variables.

61
Q

What is inferential statistics?

A

A branch of statistics used to draw conclusions about populations from sample data.

62
Q

What is a confidence interval?

A

A range of values within which a population parameter is estimated to lie.

63
Q

What is a null hypothesis?

A

A statement that there is no effect or no difference.

64
Q

What is an alternative hypothesis?

A

A statement suggesting a real effect or difference.

65
Q

What is a Type I error?

A

Rejecting a true null hypothesis (false positive).

66
Q

What is a Type II error?

A

Failing to reject a false null hypothesis (false negative).

67
Q

What is a p-value?

A

The probability of obtaining results at least as extreme as the observed data under the null hypothesis.

68
Q

What is a t-test used for?

A

Comparing means between two groups.

69
Q

What is an ANOVA test?

A

A statistical test for comparing means among multiple groups.

70
Q

What is a chi-square test used for?

A

Testing independence between categorical variables.

71
Q

What is inferential statistics?

A

A branch of statistics used to draw conclusions about populations from sample data.

72
Q

What is a confidence interval?

A

A range of values within which a population parameter is estimated to lie.

73
Q

What is a null hypothesis?

A

A statement that there is no effect or no difference.

74
Q

What is an alternative hypothesis?

A

A statement suggesting a real effect or difference.

75
Q

What is a Type I error?

A

Rejecting a true null hypothesis (false positive).

76
Q

What is a Type II error?

A

Failing to reject a false null hypothesis (false negative).

77
Q

What is a p-value?

A

The probability of obtaining results at least as extreme as the observed data under the null hypothesis.

78
Q

What is a t-test used for?

A

Comparing means between two groups.

79
Q

What is an ANOVA test?

A

A statistical test for comparing means among multiple groups.

80
Q

What is a chi-square test used for?

A

Testing independence between categorical variables.

81
Q

What is inferential statistics?

A

A branch of statistics used to draw conclusions about populations from sample data.

82
Q

What is a confidence interval?

A

A range of values within which a population parameter is estimated to lie.

83
Q

What is a null hypothesis?

A

A statement that there is no effect or no difference.

84
Q

What is an alternative hypothesis?

A

A statement suggesting a real effect or difference.

85
Q

What is a Type I error?

A

Rejecting a true null hypothesis (false positive).

86
Q

What is a Type II error?

A

Failing to reject a false null hypothesis (false negative).

87
Q

What is a p-value?

A

The probability of obtaining results at least as extreme as the observed data under the null hypothesis.

88
Q

What is a t-test used for?

A

Comparing means between two groups.

89
Q

What is an ANOVA test?

A

A statistical test for comparing means among multiple groups.

90
Q

What is a chi-square test used for?

A

Testing independence between categorical variables.

91
Q

What is inferential statistics?

A

A branch of statistics used to draw conclusions about populations from sample data.

92
Q

What is a confidence interval?

A

A range of values within which a population parameter is estimated to lie.

93
Q

What is a null hypothesis?

A

A statement that there is no effect or no difference.

94
Q

What is an alternative hypothesis?

A

A statement suggesting a real effect or difference.

95
Q

What is a Type I error?

A

Rejecting a true null hypothesis (false positive).

96
Q

What is a Type II error?

A

Failing to reject a false null hypothesis (false negative).

97
Q

What is a p-value?

A

The probability of obtaining results at least as extreme as the observed data under the null hypothesis.

98
Q

What is a t-test used for?

A

Comparing means between two groups.

99
Q

What is an ANOVA test?

A

A statistical test for comparing means among multiple groups.

100
Q

What is a chi-square test used for?

A

Testing independence between categorical variables.

Statistics for Machine Learning (9 decks)

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