Exam 3: Visualizing and Exploring Data

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To select a chart type in Excel from the Charts group, which tab has to be accessed?

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Use the data given below to answer the following question(s). Following is an extract from the Cost per Order Database of Grogtes LLC. Item Category Item Item Cost Units Cost per Order Nuts N101 \ 2.44 94 \ 229.36 Screws S101 \ 20.44 49 \ 1,001.56 Nuts N102 \ 5.44 35 \ 190.40 Screwdriver SD 101 \ 20.44 26 \ 531.44 Nuts N102 \ 3.44 55 \ 189.20 Screws S102 \ 5.44 59 \ 320.96 Nuts N101 \ 2.44 74 \ 180.56 Nuts N102 \ 5.44 89 \ 484.16 Nuts N101 \ 2.44 31 \ 75.64 Screws S103 \ 9.44 59 \ 556.96 Nuts N102 \ 5.44 89 \ 484.16 Screws S101 \ 2.44 28 \ 68.32 Screws S101 \ 20.44 80 \ 1,635.20 Nuts N102 \ 5.44 34 \ 184.96 Nails NG101 \ 125.45 1 \ 125.45 Bolts B101 \ 16.44 15 \ 246.60 Screws S103 \ 9.44 27 \ 254.88 Screwdriver SD 102 \ 9.44 63 \ 594.72 Screwdriver SD 101 \ 20.44 14 \ 286.16 Bolts B102 \ 5.44 95 \ 516.80 Nuts N103 \ 1.74 66 \ 114.84 Bolts B101 \ 16.44 73 \ 1,200.12 Screws S103 \ 9.44 45 \ 424.80 Screws S104 \ 15.45 86 \ 1,328.70 Screws S102 \ 5.44 3 \ 16.32 Screws S101 \ 20.44 6 \ 122.64 Bolts B 102 \ 5.44 49 \ 266.56 Nuts N101 \ 2.44 65 \ 158.60 Screw driver SD 103 \ 5.44 95 \ 516.80 Nuts N103 \ 1.74 52 \ 90.48 Screws S103 \ 9.44 79 \ 745.76 Nailgun pack NG101 \ 125.45 4 \ 501.80 Bolts B102 \ 5.44 61 \ 331.84 Bolts B103 \ 12.94 54 \ 698.76 Bolts B104 \ 24.40 41 \ 1,000.40 Nails NG102 \ 275.45 2 \ 550.90 Nuts N103 \ 1.74 6 \ 10.44 Screw driver SD 104 \ 2.44 75 \ 183.00 Screws S101 \ 20.44 56 \ 1,144.64 Nuts N103 \ 1.74 13 \ 22.62 Screws \ 102 \ 5.44 10 \ 54.40 \quad Screws S101 \ 20.44 93 \ 1,900.92 Screws S102 \ 5.44 27 \ 146.88 -Which of the following observations is closest to the 87th percentile of costs per order?

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Use the data given below to answer the following question(s). Following is an extract from the Cost per Order Database of Grogtes LLC. Item Category Item Item Cost Units Cost per Order Nuts N101 \ 2.44 94 \ 229.36 Screws S101 \ 20.44 49 \ 1,001.56 Nuts N102 \ 5.44 35 \ 190.40 Screwdriver SD 101 \ 20.44 26 \ 531.44 Nuts N102 \ 3.44 55 \ 189.20 Screws S102 \ 5.44 59 \ 320.96 Nuts N101 \ 2.44 74 \ 180.56 Nuts N102 \ 5.44 89 \ 484.16 Nuts N101 \ 2.44 31 \ 75.64 Screws S103 \ 9.44 59 \ 556.96 Nuts N102 \ 5.44 89 \ 484.16 Screws S101 \ 2.44 28 \ 68.32 Screws S101 \ 20.44 80 \ 1,635.20 Nuts N102 \ 5.44 34 \ 184.96 Nails NG101 \ 125.45 1 \ 125.45 Bolts B101 \ 16.44 15 \ 246.60 Screws S103 \ 9.44 27 \ 254.88 Screwdriver SD 102 \ 9.44 63 \ 594.72 Screwdriver SD 101 \ 20.44 14 \ 286.16 Bolts B102 \ 5.44 95 \ 516.80 Nuts N103 \ 1.74 66 \ 114.84 Bolts B101 \ 16.44 73 \ 1,200.12 Screws S103 \ 9.44 45 \ 424.80 Screws S104 \ 15.45 86 \ 1,328.70 Screws S102 \ 5.44 3 \ 16.32 Screws S101 \ 20.44 6 \ 122.64 Bolts B 102 \ 5.44 49 \ 266.56 Nuts N101 \ 2.44 65 \ 158.60 Screw driver SD 103 \ 5.44 95 \ 516.80 Nuts N103 \ 1.74 52 \ 90.48 Screws S103 \ 9.44 79 \ 745.76 Nailgun pack NG101 \ 125.45 4 \ 501.80 Bolts B102 \ 5.44 61 \ 331.84 Bolts B103 \ 12.94 54 \ 698.76 Bolts B104 \ 24.40 41 \ 1,000.40 Nails NG102 \ 275.45 2 \ 550.90 Nuts N103 \ 1.74 6 \ 10.44 Screw driver SD 104 \ 2.44 75 \ 183.00 Screws S101 \ 20.44 56 \ 1,144.64 Nuts N103 \ 1.74 13 \ 22.62 Screws \ 102 \ 5.44 10 \ 54.40 \quad Screws S101 \ 20.44 93 \ 1,900.92 Screws S102 \ 5.44 27 \ 146.88 -Which of the following can be used to quickly create cross-tabulations?

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Which of the following charts allows plotting of multiple dimensions of several data series?

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Explain with an example the filtering tool provided by Excel for simple criteria.

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Use the data given below to answer the following question(s). Following is an extract from the Employee Payroll Database of HFR Informatics Inc. Employee Ethnic Group Gender Rank / Grade Pay Scale Maria Asian American Female 3 A Peter White American Male 2 B George Hispanic Male 1 C American Smith Black American Female 1 D Johnson Alaska Native Male 2 E Thompson Asian American Male 2 B Martinez Alaska Native Male 3 A Lewis White American Female 2 B Lee Black American Male 2 A Taylor Asian American Female 1 B Carter Asian American Male 2 C Edwards Hispanic Male 2 E American Bailey White American Male 2 B Cooper White American Male 2 A Bill Alaska Native Male 3 E Cox Asian American Male 1 A Perry Hispanic Female 2 C American Flores Alaska Native Female 2 B Woods White American Male 3 E Cole Asian American Female 1 A -What is the cumulative relative frequency of employees on a 'A to D' pay scale?

(Multiple Choice)
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Use the data given below to answer the following question(s). Following is the Sales database of Pointler's Inc., a manufacturer of clothing material.  Item  Type  Item ID Region  Buyer  Unit  Cost ($) Units  Denim  D101  Quintasia  Peter 9.79101 Cotton  C101  Prioland  Kane 27.7956 Denim  D102  Prioland  Jones 12.7942 Leather  L101  Prioland  Gerry 27.7933 Denim  D103  Dygertia  Sarah 10.7962 Cotton  C102  Quintasia  Peter 12.7966 Denim  D101  Prioland  Audrey 9.7981 Denim  D102  Prioland  Jones 12.7996 Denim  D101  Dygertia  Thomas 9.7938 Cotton  C103  Quintasia  Peter 16.7966 Denim  D102  Prioland  Mary 12.7996 Cotton  C105  Quintasia  Henry 9.7935 Cotton  C101  Quintasia  Philip 27.7987 Denim  D102  Quintasia  Peter 12.7941 Jute  J101  Prioland  Simson 132.8 8  Fur  F101  Quintasia  Peter 23.7922 Cotton  C103  Prioland  Mary 16.7934 Leather  L102  Quintasia  Peter 16.7970 Leather  L101  Quintasia  Philip 27.7921 Fur  F102  Prioland  Kane 12.79102 Denim  D104  Prioland  Simson 9.0973 Fur  F101  Quintasia  Philip 23.7980 Cotton  C103  Prioland  Gerry 16.7952 Cotton  C104  Prioland  Simson 22.893 Cotton  C101  Quintasia  Peter 12.7910\begin{array}{|l|l|l|l|l|l|}\hline \begin{array}{l}\text { Item } \\\text { Type }\end{array} & \text { Item } \mathrm{ID} & \text { Region } & \text { Buyer } & \begin{array}{l}\text { Unit } \\\text { Cost } \\(\$)\end{array} & \text { Units } \\\hline \text { Denim } & \text { D101 } & \text { Quintasia } & \text { Peter } & 9.79 & 101 \\\hline \text { Cotton } & \text { C101 } & \text { Prioland } & \text { Kane } & 27.79 & 56 \\\hline \text { Denim } & \text { D102 } & \text { Prioland } & \text { Jones } & 12.79 & 42 \\\hline \text { Leather } & \text { L101 } & \text { Prioland } & \text { Gerry } & 27.79 & 33 \\\hline \text { Denim } & \text { D103 } & \text { Dygertia } & \text { Sarah } & 10.79 & 62 \\\hline \text { Cotton } & \text { C102 } & \text { Quintasia } & \text { Peter } & 12.79 & 66 \\\hline \text { Denim } & \text { D101 } & \text { Prioland } & \text { Audrey } & 9.79 & 81 \\\hline \text { Denim } & \text { D102 } & \text { Prioland } & \text { Jones } & 12.79 & 96 \\\hline \text { Denim } & \text { D101 } & \text { Dygertia } & \text { Thomas } & 9.79 & 38 \\\hline \text { Cotton } & \text { C103 } & \text { Quintasia } & \text { Peter } & 16.79 & 66 \\\hline \text { Denim } & \text { D102 } & \text { Prioland } & \text { Mary } & 12.79 & 96 \\\hline \text { Cotton } & \text { C105 } & \text { Quintasia } & \text { Henry } & 9.79 & 35 \\\hline \text { Cotton } & \text { C101 } & \text { Quintasia } & \text { Philip } & 27.79 & 87 \\\hline \text { Denim } & \text { D102 } & \text { Quintasia } & \text { Peter } & 12.79 & 41 \\\hline \text { Jute } & \text { J101 } & \text { Prioland } & \text { Simson } & 132.8 & \text { 8 } \\\hline \text { Fur } & \text { F101 } & \text { Quintasia } & \text { Peter } & 23.79 & 22 \\\hline \text { Cotton } & \text { C103 } & \text { Prioland } & \text { Mary } & 16.79 & 34 \\\hline \text { Leather } & \text { L102 } & \text { Quintasia } & \text { Peter } & 16.79 & 70 \\\hline \text { Leather } & \text { L101 } & \text { Quintasia } & \text { Philip } & 27.79 & 21 \\\hline \text { Fur } & \text { F102 } & \text { Prioland } & \text { Kane } & 12.79 & 102 \\\hline \text { Denim } & \text { D104 } & \text { Prioland } & \text { Simson } & 9.09 & 73 \\\hline \text { Fur } & \text { F101 } & \text { Quintasia } & \text { Philip } & 23.79 & 80 \\\hline \text { Cotton } & \text { C103 } & \text { Prioland } & \text { Gerry } & 16.79 & 52 \\\hline \text { Cotton } & \text { C104 } & \text { Prioland } & \text { Simson } & 22.8 & 93 \\\hline \text { Cotton } & \text { C101 } & \text { Quintasia } & \text { Peter } & 12.79 & 10 \\\hline\end{array} -To construct a frequency distribution for categorical data, the

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Use the data given below to answer the following question(s). Following is an extract from the Employee Payroll Database of HFR Informatics Inc. Employee Ethnic Group Gender Rank / Grade Pay Scale Maria Asian American Female 3 A Peter White American Male 2 B George Hispanic Male 1 C American Smith Black American Female 1 D Johnson Alaska Native Male 2 E Thompson Asian American Male 2 B Martinez Alaska Native Male 3 A Lewis White American Female 2 B Lee Black American Male 2 A Taylor Asian American Female 1 B Carter Asian American Male 2 C Edwards Hispanic Male 2 E American Bailey White American Male 2 B Cooper White American Male 2 A Bill Alaska Native Male 3 E Cox Asian American Male 1 A Perry Hispanic Female 2 C American Flores Alaska Native Female 2 B Woods White American Male 3 E Cole Asian American Female 1 A -What is the relative frequency of Female employees?

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Use the data given below to answer the following question(s). Following is the Sales database of Pointler's Inc., a manufacturer of clothing material.  Item  Type  Item ID Region  Buyer  Unit  Cost ($) Units  Denim  D101  Quintasia  Peter 9.79101 Cotton  C101  Prioland  Kane 27.7956 Denim  D102  Prioland  Jones 12.7942 Leather  L101  Prioland  Gerry 27.7933 Denim  D103  Dygertia  Sarah 10.7962 Cotton  C102  Quintasia  Peter 12.7966 Denim  D101  Prioland  Audrey 9.7981 Denim  D102  Prioland  Jones 12.7996 Denim  D101  Dygertia  Thomas 9.7938 Cotton  C103  Quintasia  Peter 16.7966 Denim  D102  Prioland  Mary 12.7996 Cotton  C105  Quintasia  Henry 9.7935 Cotton  C101  Quintasia  Philip 27.7987 Denim  D102  Quintasia  Peter 12.7941 Jute  J101  Prioland  Simson 132.8 8  Fur  F101  Quintasia  Peter 23.7922 Cotton  C103  Prioland  Mary 16.7934 Leather  L102  Quintasia  Peter 16.7970 Leather  L101  Quintasia  Philip 27.7921 Fur  F102  Prioland  Kane 12.79102 Denim  D104  Prioland  Simson 9.0973 Fur  F101  Quintasia  Philip 23.7980 Cotton  C103  Prioland  Gerry 16.7952 Cotton  C104  Prioland  Simson 22.893 Cotton  C101  Quintasia  Peter 12.7910\begin{array}{|l|l|l|l|l|l|}\hline \begin{array}{l}\text { Item } \\\text { Type }\end{array} & \text { Item } \mathrm{ID} & \text { Region } & \text { Buyer } & \begin{array}{l}\text { Unit } \\\text { Cost } \\(\$)\end{array} & \text { Units } \\\hline \text { Denim } & \text { D101 } & \text { Quintasia } & \text { Peter } & 9.79 & 101 \\\hline \text { Cotton } & \text { C101 } & \text { Prioland } & \text { Kane } & 27.79 & 56 \\\hline \text { Denim } & \text { D102 } & \text { Prioland } & \text { Jones } & 12.79 & 42 \\\hline \text { Leather } & \text { L101 } & \text { Prioland } & \text { Gerry } & 27.79 & 33 \\\hline \text { Denim } & \text { D103 } & \text { Dygertia } & \text { Sarah } & 10.79 & 62 \\\hline \text { Cotton } & \text { C102 } & \text { Quintasia } & \text { Peter } & 12.79 & 66 \\\hline \text { Denim } & \text { D101 } & \text { Prioland } & \text { Audrey } & 9.79 & 81 \\\hline \text { Denim } & \text { D102 } & \text { Prioland } & \text { Jones } & 12.79 & 96 \\\hline \text { Denim } & \text { D101 } & \text { Dygertia } & \text { Thomas } & 9.79 & 38 \\\hline \text { Cotton } & \text { C103 } & \text { Quintasia } & \text { Peter } & 16.79 & 66 \\\hline \text { Denim } & \text { D102 } & \text { Prioland } & \text { Mary } & 12.79 & 96 \\\hline \text { Cotton } & \text { C105 } & \text { Quintasia } & \text { Henry } & 9.79 & 35 \\\hline \text { Cotton } & \text { C101 } & \text { Quintasia } & \text { Philip } & 27.79 & 87 \\\hline \text { Denim } & \text { D102 } & \text { Quintasia } & \text { Peter } & 12.79 & 41 \\\hline \text { Jute } & \text { J101 } & \text { Prioland } & \text { Simson } & 132.8 & \text { 8 } \\\hline \text { Fur } & \text { F101 } & \text { Quintasia } & \text { Peter } & 23.79 & 22 \\\hline \text { Cotton } & \text { C103 } & \text { Prioland } & \text { Mary } & 16.79 & 34 \\\hline \text { Leather } & \text { L102 } & \text { Quintasia } & \text { Peter } & 16.79 & 70 \\\hline \text { Leather } & \text { L101 } & \text { Quintasia } & \text { Philip } & 27.79 & 21 \\\hline \text { Fur } & \text { F102 } & \text { Prioland } & \text { Kane } & 12.79 & 102 \\\hline \text { Denim } & \text { D104 } & \text { Prioland } & \text { Simson } & 9.09 & 73 \\\hline \text { Fur } & \text { F101 } & \text { Quintasia } & \text { Philip } & 23.79 & 80 \\\hline \text { Cotton } & \text { C103 } & \text { Prioland } & \text { Gerry } & 16.79 & 52 \\\hline \text { Cotton } & \text { C104 } & \text { Prioland } & \text { Simson } & 22.8 & 93 \\\hline \text { Cotton } & \text { C101 } & \text { Quintasia } & \text { Peter } & 12.79 & 10 \\\hline\end{array} -If a data set has 'c' number of observations, the relative frequency of category 'l' is computed as .

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Peige, a stock broker, has data consisting of price, price/earnings ratio, and market capitalization for seven different stocks on one particular day. She wishes to plot these three variables in two dimensions. Which of the following charts must Peige use?

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