chapter 기초 통계 개념 - · pdf file1.1 왜 통계학인가? •1 1.1 왜...

Download Chapter 기초 통계 개념 - · PDF file1.1 왜 통계학인가? •1 1.1 왜 통계학인가? 통계학은 데이터의 수집, 처리, 요약, 분석, 해석을 다루는 학문이다

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  • 11.1?

    1.1?

    , , , , .

    , , ,

    .

    .

    .

    1.

    2.

    3.

    4. 3

    5.

    6.

    7.

    8.

    9. 18

    10.

    (variability) .

    , 3

    . ,

    .

    .

    1.1-1

    1Chapter

    01.indd 1 16. 4. 11. 10:51

  • 2 1

    1-1 32 1 . (1.5

    ) ,

    , 5 . 1.1-1

    .

    3

    , .

    ,

    ? (

    ) . 1 ( )

    .

    .

    .

    1.2

    1.1-1 (population)

    ( ) ()

    .

    .

    (population units) .

    1-1

    32

    Freq

    uenc

    y42 44 46 48 50

    01

    23

    45

    67

    1 MPa( ) , 15 cm, 30 cm , / 0.4, 28

    01.indd 2 16. 4. 11. 10:51

  • 31.2

    (a) 1.1-1, 1

    .

    (b) 1.1-1, 3 ,

    . .

    (c) 1.1-1, 5 .

    .

    (d) 1.1-1, 8 , .

    .

    1.2-1 (c) ,

    . 1.1-1 2

    .

    . (inherent variability) (intrinsic variability)

    . ()

    (census) . , .

    .

    .

    (a) ,

    18 .

    (b) ,

    .

    ,

    , .

    (a) ( 1.1-1, 4 7)

    .

    .

    (b) ( 1.1-1, 6),

    .

    .

    1.2-1

    1.2-2

    1.2-3

    01.indd 3 16. 4. 11. 10:51

  • 4 1

    (

    ),

    .

    () . 18

    .

    .

    .

    (a) (sample proportion)(

    ) (population proportion) . ( .) (

    1.6.1 .)

    (b) () () . (

    .) ( 1.6.2

    .)

    (c)

    . ( .)

    .

    1-2 50 x .

    10 .2

    50 ,

    .3

    , .

    .

    . 20

    20

    ( ). (1.6.2 )

    (sampling variability)

    .

    1.2-4

    1.2-5

    2 1.3 .3 6 .

    01.indd 4 16. 4. 11. 10:51

  • 51.2

    1.2-5 50 10

    . 1-3

    .

    . .

    . 1.1-1

    . 1.1

    . 1.6.2 .

    (population parameter) .

    1.2-6

    1-2

    ()

    ()

    20 25 30 35 40 45 50 55

    100

    200

    300

    400

    Chest girthW

    eigh

    t

    1-3

    10

    Chest girth

    Wei

    ght

    20 25 30 35 40 45 50 55

    100

    200

    300

    400

    01.indd 5 16. 4. 11. 10:51

  • 6 1

    1.2-4 .

    1.6 1.7 .

    . (statistics)

    . ,

    1.6 1.7 , .

    .

    .

    .

    .

    . (statistical

    inference)

    .

    .

    .

    .

    . .

    ( )

    .

    ,

    ,

    .

    (estimation)[(point) (interval)

    ] , (hypotheses) (testing).

    ( 1.1-1, 1).

    (

    1.1-1, 7). (prediction) .

    ( 1.1-1, 5).

    .

    01.indd 6 16. 4. 11. 10:51

  • 71.3

    1.

    .

    (a) .

    (b) ?

    2.

    .

    10

    .

    (a) .

    (b) ?

    (c) () .

    3. 1 2 .

    2/3 .

    2

    .

    (a) .

    (b) () ?

    (c) ?

    4.

    ?

    175

    .

    (a) .

    (b) .

    (c) ?

    5.

    , (section)

    .

    .

    .

    (a) ?

    (b) .

    (c) () ?

    (d) () ?

    1.3

    1.3.1

    ,

    (representative) .

    .

    (

    ) 1936 Literary Digest . Literary Digest

    . 1936

    , 32

    . 1.3.4

    . 230 ( )

    01.indd 7 16. 4. 11. 10:51

  • 8 1

    Literary Digest . 5

    .

    . ,

    .

    . .

    1.3.2

    (simple random sampling).

    n , n

    .

    .

    N n

    1 N (random number generator)

    n n .

    1 N ,

    .

    1 N n (

    ).

    Sixty KitchenAid .

    12 .

    (a) 60 12 .

    (b) (a) R .

    1 60 . 1

    60 60 . 12

    . 12 60 n 5 12

    . R .

    :R

    (1.3.1)

    y 5 , sample(seq(1, 60), size 5 12) R 12

    1.3-1

    01.indd 8 16. 4. 11. 10:51

  • 91.3

    . y y 12

    . 12 6, 8, 57, 53, 31, 35, 2, 4, 16, 7, 49,

    41.

    (infinite) .

    .

    .

    .

    . .

    50 50 100 10

    . (a) 1 50

    5 . (b) . 10

    ?

    ( )

    . .

    4 6 ,

    . , 10

    . .

    1.3-2 (stratified sampling) .

    (strata),

    . , , ,

    .

    .

    . (proportionate allocation)

    1.3-2 . , .

    (

    ) .

    .

    1.3-2

    01.indd 9 16. 4. 11. 10:51

  • 10 1

    1.3.3

    (with replacement) (without

    replacement) .

    .

    {, }.

    . .

    N ()

    ( N 2 1

    , N 2 2 ).

    ( ) .

    (conceptual convenience) ,

    .

    . (,

    ) .

    (bootstrap) .

    .

    1.3.4

    .

    . ,

    . 80 %

    .

    .

    .

    ,

    . 2 3

    1 4 .

    1936 Literary Digest

    . Literary Digest ,

    . 1936

    .

    .

    01.indd 10 16. 4. 11. 10:51

  • 111.3

    1,000 230 .

    . Literary Digest

    (

    [1948 - ] Literary Digest ).

    .

    . .

    ,

    .

    .

    1. 1.2 5

    . (i)

    . (ii)

    .

    ?

    2. 3

    . 20% A ,

    50% B , 30% C .

    (QCT) 100

    .

    QCT A 20, B 50, C

    30 QC

    .

    (a) 100

    ?

    (b) (a) .

    ,

    ?

    3.

    .

    ,

    .

    (a) ?

    (b)

    ?

    (c)

    ?

    (d)

    (overestimate) (underestimate)

    ?

    4. 2007 1 9

    .

    70 15

    . 70 15

    . R 15

    . R

    .

    5. 90

    .

    5 . 90

    01.indd 11 16. 4. 11. 10:51

  • 12 1

    5 .

    R .

    6.

    .

    12 1,000

    , 100

    .

    (a) 1,000 100

    .

    (b) 1,000 800 , 150

    , 50 .

    100

    .

    (c) (a) (b) R

    .

    7.

    . 3

    .

    .

    8. A B, . B

    70% .

    1 50

    .

    A

    , B

    .

    ? .

    9. 2 .

    2/3 .

    .

    6

    , 3

    . 9

    ? .

    1.4

    1.1

    (quantitative). , (qualitative)

    (categorical) .

    (strength) (ordinal).

    . 21

    , 11 .

    (variable) .

    (discrete) . .

    . , , ,

    (continuous) .

    , ,

    (univariate), (bivariate) (multivariate)

    .

    01.indd 12 16. 4. 11. 10:51

  • 131.4

    (a) (

    ) , .

    (b) 18 .

    .

    ,

    .

    (c)

    . ,

    , .

    .

    .

    X . X X

    (random variable) .

    X .

    (underlying population) .

    . 1.1-1 3 .

    .

    . (statistical population) .

    ( ) , (

    ) .

    18 .

    0 10 ,

    . 0 0 , 1

    1 .

    .

    .

    1.4-1

    1.4-2

    01.indd 13 16. 4. 11. 10:51

  • 14 1

    ()

    .

    . ,

    ( 1.6 ).

    1. 500 0, 1, 2

    N0 5 190, N1 5 160, N2 5 150

    .

    (a) ?

    (b) , ?

    (c) , , ?

    2. /

    .

    (a)

    . :

    (b) . :

    (c) . :

    (d) . :

    .

    .

    3. BMW

    . N

    n n

    .

    (a) , , ?

    (b) , ?