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Statistics for Machine Learning > 4. Inferential Statistics > Flashcards

4. Inferential Statistics Flashcards

Principles of inferential Statistics (100 cards)

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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
What is a Type I error?
Rejecting a true null hypothesis (false positive).
26
What is a Type II error?
Failing to reject a false null hypothesis (false negative).
27
What is a p-value?
The probability of obtaining results at least as extreme as the observed data under the null hypothesis.
28
What is a t-test used for?
Comparing means between two groups.
29
What is an ANOVA test?
A statistical test for comparing means among multiple groups.
30
What is a chi-square test used for?
Testing independence between categorical variables.
31
What is inferential statistics?
A branch of statistics used to draw conclusions about populations from sample data.
32
What is a confidence interval?
A range of values within which a population parameter is estimated to lie.
33
What is a null hypothesis?
A statement that there is no effect or no difference.
34
What is an alternative hypothesis?
A statement suggesting a real effect or difference.
35
What is a Type I error?
Rejecting a true null hypothesis (false positive).
36
What is a Type II error?
Failing to reject a false null hypothesis (false negative).
37
What is a p-value?
The probability of obtaining results at least as extreme as the observed data under the null hypothesis.
38
What is a t-test used for?
Comparing means between two groups.
39
What is an ANOVA test?
A statistical test for comparing means among multiple groups.
40
What is a chi-square test used for?
Testing independence between categorical variables.
41
What is inferential statistics?
A branch of statistics used to draw conclusions about populations from sample data.
42
What is a confidence interval?
A range of values within which a population parameter is estimated to lie.
43
What is a null hypothesis?
A statement that there is no effect or no difference.
44
What is an alternative hypothesis?
A statement suggesting a real effect or difference.
45
What is a Type I error?
Rejecting a true null hypothesis (false positive).
46
What is a Type II error?
Failing to reject a false null hypothesis (false negative).
47
What is a p-value?
The probability of obtaining results at least as extreme as the observed data under the null hypothesis.
48
What is a t-test used for?
Comparing means between two groups.
49
What is an ANOVA test?
A statistical test for comparing means among multiple groups.
50
What is a chi-square test used for?
Testing independence between categorical variables.
51
What is inferential statistics?
A branch of statistics used to draw conclusions about populations from sample data.
52
What is a confidence interval?
A range of values within which a population parameter is estimated to lie.
53
What is a null hypothesis?
A statement that there is no effect or no difference.
54
What is an alternative hypothesis?
A statement suggesting a real effect or difference.
55
What is a Type I error?
Rejecting a true null hypothesis (false positive).
56
What is a Type II error?
Failing to reject a false null hypothesis (false negative).
57
What is a p-value?
The probability of obtaining results at least as extreme as the observed data under the null hypothesis.
58
What is a t-test used for?
Comparing means between two groups.
59
What is an ANOVA test?
A statistical test for comparing means among multiple groups.
60
What is a chi-square test used for?
Testing independence between categorical variables.
61
What is inferential statistics?
A branch of statistics used to draw conclusions about populations from sample data.
62
What is a confidence interval?
A range of values within which a population parameter is estimated to lie.
63
What is a null hypothesis?
A statement that there is no effect or no difference.
64
What is an alternative hypothesis?
A statement suggesting a real effect or difference.
65
What is a Type I error?
Rejecting a true null hypothesis (false positive).
66
What is a Type II error?
Failing to reject a false null hypothesis (false negative).
67
What is a p-value?
The probability of obtaining results at least as extreme as the observed data under the null hypothesis.
68
What is a t-test used for?
Comparing means between two groups.
69
What is an ANOVA test?
A statistical test for comparing means among multiple groups.
70
What is a chi-square test used for?
Testing independence between categorical variables.
71
What is inferential statistics?
A branch of statistics used to draw conclusions about populations from sample data.
72
What is a confidence interval?
A range of values within which a population parameter is estimated to lie.
73
What is a null hypothesis?
A statement that there is no effect or no difference.
74
What is an alternative hypothesis?
A statement suggesting a real effect or difference.
75
What is a Type I error?
Rejecting a true null hypothesis (false positive).
76
What is a Type II error?
Failing to reject a false null hypothesis (false negative).
77
What is a p-value?
The probability of obtaining results at least as extreme as the observed data under the null hypothesis.
78
What is a t-test used for?
Comparing means between two groups.
79
What is an ANOVA test?
A statistical test for comparing means among multiple groups.
80
What is a chi-square test used for?
Testing independence between categorical variables.
81
What is inferential statistics?
A branch of statistics used to draw conclusions about populations from sample data.
82
What is a confidence interval?
A range of values within which a population parameter is estimated to lie.
83
What is a null hypothesis?
A statement that there is no effect or no difference.
84
What is an alternative hypothesis?
A statement suggesting a real effect or difference.
85
What is a Type I error?
Rejecting a true null hypothesis (false positive).
86
What is a Type II error?
Failing to reject a false null hypothesis (false negative).
87
What is a p-value?
The probability of obtaining results at least as extreme as the observed data under the null hypothesis.
88
What is a t-test used for?
Comparing means between two groups.
89
What is an ANOVA test?
A statistical test for comparing means among multiple groups.
90
What is a chi-square test used for?
Testing independence between categorical variables.
91
What is inferential statistics?
A branch of statistics used to draw conclusions about populations from sample data.
92
What is a confidence interval?
A range of values within which a population parameter is estimated to lie.
93
What is a null hypothesis?
A statement that there is no effect or no difference.
94
What is an alternative hypothesis?
A statement suggesting a real effect or difference.
95
What is a Type I error?
Rejecting a true null hypothesis (false positive).
96
What is a Type II error?
Failing to reject a false null hypothesis (false negative).
97
What is a p-value?
The probability of obtaining results at least as extreme as the observed data under the null hypothesis.
98
What is a t-test used for?
Comparing means between two groups.
99
What is an ANOVA test?
A statistical test for comparing means among multiple groups.
100
What is a chi-square test used for?
Testing independence between categorical variables.

Statistics for Machine Learning (9 decks)

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