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1 Pertemuan 02 Analisis Data Matakuliah: I0272 – Statistik Probabilitas Tahun: 2005 Versi: Revisi
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2 Learning Outcomes Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu : Mahasiswa akan dapat menjelaskan cara menentukan data pencilan dengan diagram kotak - garis
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3 Outline Materi Kuantil suatu sebaran Kuantil sebaran empiris Statistik urutan dan kuartil Diagram kotak-garis Ukuran pemusatan dan variabilitas
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4 Descriptive Statistics: Tabular and Graphical Methods Summarizing Qualitative Data Summarizing Quantitative Data Exploratory Data Analysis Crosstabulations and Scatter Diagrams
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5 Summarizing Qualitative Data Frequency Distribution Relative Frequency Percent Frequency Distribution Bar Graph Pie Chart
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6 Frequency Distribution Rating Frequency Poor 2 Below Average 3 Average 5 Above Average 9 Excellent 1 Total 20 Contoh Soal: Marada Inn
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7 Relative Frequency and Percent Frequency Distributions Relative Percent RatingFrequencyFrequency Poor.1010 Below Average.1515 Average.2525 Above Average.4545 Excellent.05 5 Total 1.00 100
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8 Contoh Soal: Marada Inn Bar Graph 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Poor Below Average Below Average Above Average Above Average Excellent Frequency Rating
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9 Summarizing Quantitative Data Frequency Distribution Relative Frequency and Percent Frequency Distributions Dot Plot Histogram Cumulative Distributions Ogive
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10 Contoh Soal: Hudson Auto Repair The manager of Hudson Auto would like to get a better picture of the distribution of costs for engine tune-up parts. A sample of 50 customer invoices has been taken and the costs of parts, rounded to the nearest dollar, are listed below.
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11 Contoh Soal: Hudson Auto Repair Ogive with Cumulative Percent Frequencies Parts Parts Cost ($) Parts Parts Cost ($) 20 40 60 80 100 Cumulative Percent Frequency 50 60 70 80 90 100 110
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12 Contoh Soal: Hudson Auto Repair Stem-and-Leaf Display 5 2 7 6 2 2 2 2 5 6 7 8 8 8 9 9 9 7 1 1 2 2 3 4 4 5 5 5 6 7 8 9 9 8 0 0 2 3 5 8 9 9 1 3 7 7 7 8 9 10 1 4 5 5 9
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13 Contoh Soal: Hudson Auto Repair Stretched Stem-and-Leaf Display 5 2 5 7 6 2 2 2 2 6 5 6 7 8 8 8 9 9 9 7 1 1 2 2 3 4 4 7 5 5 5 6 7 8 9 9 9 8 0 0 2 3 8 5 8 9 9 1 3 9 7 7 7 8 9 10 1 4 10 5 5 9
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14 Scatter Diagram A Positive Relationship xy
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15 Scatter Diagram A Negative Relationship xy
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16 Tabular and Graphical ProceduresData Qualitative Data Quantitative Data Tabular TabularMethods MethodsGraphical Methods MethodsGraphical FrequencyFrequency Distribution Distribution Rel. Freq. Dist.Rel. Freq. Dist. % Freq. Dist.% Freq. Dist. CrosstabulationCrosstabulation Bar GraphBar Graph Pie ChartPie Chart FrequencyFrequency Distribution Distribution Rel. Freq. Dist.Rel. Freq. Dist. Cum. Freq. Dist.Cum. Freq. Dist. Cum. Rel. Freq.Cum. Rel. Freq. Distribution Distribution Stem-and-LeafStem-and-Leaf Display Display CrosstabulationCrosstabulation Dot PlotDot Plot HistogramHistogram OgiveOgive ScatterScatter Diagram Diagram
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17 Measures of Location Mean Median Mode Percentiles Quartiles
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18 Mean The mean of a data set is the average of all the data values. If the data are from a sample, the mean is denoted by. If the data are from a population, the mean is denoted by m (mu).
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19 Quartiles Quartiles are specific percentiles First Quartile = 25th Percentile Second Quartile = 50th Percentile = Median Third Quartile = 75th Percentile
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20 Measures of Variability Range Interquartile Range Variance Standard Deviation Coefficient of Variation
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21 Variance The variance is the average of the squared differences between each data value and the mean. If the data set is a sample, the variance is denoted by s 2. If the data set is a population, the variance is denoted by 2.
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22 Coefficient of Variation The coefficient of variation indicates how large the standard deviation is in relation to the mean. If the data set is a sample, the coefficient of variation is computed as follows: If the data set is a population, the coefficient of variation is computed as follows:
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23 Selamat Belajar Semoga Sukses.
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