t4_2 [compatibility mode].pdf

Upload: vanessa-schultz

Post on 14-Apr-2018

215 views

Category:

Documents


0 download

TRANSCRIPT

  • 7/27/2019 T4_2 [Compatibility Mode].pdf

    1/4

    1

    ANALYSIS OF VARIANCE

    (ANOVA)

    Wah Mong Weh

    Jabatan Matematik

    IPG KSAH

    2

    Test Statistic for One-Way ANOVA

    A excessively large F test statistic isevidence against equal population means.Thus, the null will be rejected.

    F = variance between samplesvariance within samples

    3

    The variance is calculated in

    two different ways and the

    ratio of the two values is

    formed.

    W

    B

    MSMSF=

    4

    MSB

    , Mean Square Between, the variance

    between samples, measures the differences

    related to the treatment given to each sample.

    2.MSW

    Mean Square Within, the variance

    within samples, measures the differences

    related to entries within the same sample. The

    variance within samples is due to sampling

    error.

    5

    Example 1 (Equal sample sizes)

    A researcher wishes to try three different

    techniques to lower the blood pressure of

    individuals diagnosed with high blood

    pressure. The subjects are randomly assigned

    to three groups; the first group takes

    medication, the second group exercises, and

    the third group follows a special diet. After

    four weeks, the reduction in each person's

    blood pressure is recorded. At =0.05, test the

    claim that there is no difference among the

    means. The data are shown6

    Medication

    Exercise Diet

    10 6 5

    12 8 9

    9 3 12

    15 0 8

    13 2 4

    Sample means 11.8 3.8 7.6

    sample sd 2.3874 3.193 3.209

    sample var 5.7 10.2 10.3

  • 7/27/2019 T4_2 [Compatibility Mode].pdf

    2/4

    7

    The hypotheses

    H0: 1=2=3

    H1: At least one mean is different from theothers

    Find the critical value for F =0.05,

    df (2, 12) = 3.89

    2

    2

    p

    x

    s

    nsF =

    8

    (i) Compute the variance of the sample means ie

    compute the variance of the three values: 11.8, 3.8,

    7.6 with a calculator

    std dev = 4.00 var = 16

    (ii) Compute the mean of the sample variances ie

    find the mean of the three values: 5.7, 10.2, 10.3

    mean = 8.73

    F = 5(16)/8.73

    = 9.1638 = 9.16

    (iii) Since 9.16 > 3.89, reject the null hypothesis

    There is enough evidence to support the claim that

    there is a difference among the means

    9

    Example 2

    A PLUS employee wishes to see if there is a

    significant difference in the number of

    employees at the PLUS offices in three states.

    The data are shown. At =0.05, can it be

    concluded that there is a significant difference

    in the average number of employees at each

    state?

    10

    Kedah Penang Perak7 10 1

    14 1 1232 1 119 0 910 11 111 1 11

    mean 15.5 4 5.8std dev 9.05 5.06 5.38

    ar 81.9 25.6 29.0

    11

    The hypotheses are

    H0: 1=2=3

    H1: At least one mean is different from the other

    Find the critical value for F based on =0.05,

    df (2, 15) = 3.68

    (i) Compute the variance of the sample means

    compute the variance of the three values: 15.5,

    4.0, 5.8 with a calculator

    (ii) Compute the mean of the sample variances ie

    find the mean of the three values: 81.9, 25.6,

    29.0

    12

    F = 6(38.32)/45.5

    = 5.05319= 5.05

    (iii) Since 5.05 > 3.68, rejectthe null hypothesis

    There is enough evidence to support the claim thatthere is a difference among the means

  • 7/27/2019 T4_2 [Compatibility Mode].pdf

    3/4

    13

    Example 1 (Equal sample sizes)Medica

    tionExercis

    e Diet

    10 6 512 8 99 3 12

    15 0 813 2 4

    Sample totals 59 19 38

    Grand mean = 7.73

    x = 116x2 = 1162

    14

    The hypotheses are

    H0: 1=2=3

    H1: At least one mean is different from theothers

    Find the critical value for F =0.05, df (2, 12)

    3.89

    (i) Compute the total sum of squares SST

    (ii) Compute the between sum of squares SSB

    15

    Lets try solve example 2 with thismethod

    16

    Example 1 : Output ExcelAnova: Single Factor

    SUMMARY

    Groups Count Sum Average Variance

    Column 1 5 59 11.8 5.7

    Column 2 5 19 3.8 10.2

    Column 3 5 38 7.6 10.3

    ANOVA

    Source of

    Variation SS df MS F P-value F crit Between

    Groups 160.13 2.00 80.07 9.17 0.00 3.89

    WithinGroups 104.80 12.00 8.73

    Total 264.9333 14

    17

    Q5AMei2012

    Sebanyak 15 orang telah diagih secara rawakkepada 3 kumpulan untuk menjalani satukajian dengan 3 jenis kaedah pengajaranMatematik yang berbeza.

    Pada penghujung semester, ujian diberikepada 15 pelajar itu. Jadual di bawahmenunjukkan markah yang diperolehi olehpelajar-pelajar dalam ketiga-tiga kumpulanitu.

    18

    KAEDAH A KAEDAH B KAEDAH C

    50 85 95

    70 55 75

    50 70 70

    65 90 85

    90 70 70

    N1 = 5 N2 = 5 N3 = 5

    T1 = 325 T2 = 370 T3 = 395

    (a) Jalan ujian ANOVA pada aras keertian 0.01 dengan

    (1) nyatakan hipotesis nol dan hipotesis alternatif yangberkaitan.

  • 7/27/2019 T4_2 [Compatibility Mode].pdf

    4/4

    19

    (ii) tentukan nilai kritikal bagi F

    (iii) Kirakan nilai bagi ujian statistik

    (b) Apakah keputusan ujian tersebut ?

    20

    Q5AMei2011

    Bahagian pentadbiran akademik Universiti

    Putra (UPM) berminat untuk mengkajipencapaian akademik bagi tiga programIjazah Sarjana Muda (BS). Data bagi puratamata gred terkumpul (PMGK) daripadaprogram BS Pertanian, BS Ekonomi dan BSEkologi telah dipungut dan direkod sepertidalam jadual dibawah.

    21

    BS Pertanian BS Ekologi BS Ekonomi

    2.3 2.5 3.1

    2.2 2.7 3.3

    2.4 2.7 3.2

    2.3 2.9 2.9

    2.5 2.6 3.0

    (a) Nyatakan hipotesis alternatif dan hipotesis nol.

    (b) Lengkapkan jadual bagi ringkasan ANOVA

    22

    PuncaPuncaVariansVarians

    Darjahkebebasan

    (d,f)

    Jumlahkuasa Dua

    (SS)

    Varians(MS) F

    AntaraKumpulan

    2

    Dalamkumpulan

    12

    Jumlah 14

    Gunakan = 0.05

    ( c) Apakah kesimpulan yang dapat dibuat oleh bahagian

    pentadbiran pada aras = 0.05 ?