Question
STAT 200 Week 2 Problem 1 . The median incomes of females in each state of the United States, including the District of Columbia and
STAT 200 Week 2
Problem 1. The median incomes of females in each state of the United States, including the District of Columbia and Puerto Rico, are given in the table below.
Table: Data of Median Income for Females
$31,862 | $40,550 | $36,048 | $30,752 | $41,817 | $40,236 | $47,476 | $40,500 |
$60,332 | $33,823 | $35,438 | $37,242 | $31,238 | $39,150 | $34,023 | $33,745 |
$33,269 | $32,684 | $31,844 | $34,599 | $48,748 | $46,185 | $36,931 | $40,416 |
$29,548 | $33,865 | $31,067 | $33,424 | $35,484 | $41,021 | $47,155 | $32,316 |
$42,113 | $33,459 | $32,462 | $35,746 | $31,274 | $36,027 | $37,089 | $22,117 |
$41,412 | $31,330 | $31,329 | $33,184 | $35,301 | $32,843 | $38,177 | $40,969 |
$40,993 | $29,688 | $35,890 | $34,381 |
(a) Create a frequency distribution, relative frequency distribution, and cumulative frequency distribution for the data in the table distribution using 7 classes.
(b) Create a frequency histogram and relative frequency histogram for the data in the table. Based on the histograms, describe the shape of the distribution.
(c) Create an ogive for the data in the table.
(d) Describe any findings you can from the graphs in (b) and (c).
Problem 2. The table below contains the value of houses and the amount of rental income in a year that each of these houses brings in.
Table: Data of House Value versus Rental
Value | Rental | Value | Rental | Value | Rental | Value | Rental |
81000 | 6656 | 77000 | 4576 | 75000 | 7280 | 67500 | 6864 |
95000 | 7904 | 94000 | 8736 | 90000 | 6240 | 85000 | 7072 |
121000 | 12064 | 115000 | 7904 | 110000 | 7072 | 104000 | 7904 |
135000 | 8320 | 130000 | 9776 | 126000 | 6240 | 125000 | 7904 |
145000 | 8320 | 140000 | 9568 | 140000 | 9152 | 135000 | 7488 |
165000 | 13312 | 165000 | 8528 | 155000 | 7488 | 148000 | 8320 |
178000 | 11856 | 174000 | 10400 | 170000 | 9568 | 170000 | 12688 |
200000 | 12272 | 200000 | 10608 | 194000 | 11232 | 190000 | 8320 |
214000 | 8528 | 208000 | 10400 | 200000 | 10400 | 200000 | 8320 |
240000 | 10192 | 240000 | 12064 | 240000 | 11648 | 225000 | 12480 |
289000 | 11648 | 270000 | 12896 | 262000 | 10192 | 244500 | 11232 |
325000 | 12480 | 310000 | 12480 | 303000 | 12272 | 300000 | 12480 |
Create a scatter plot of the data above and determine if there is a linear (positive or negative) relationship (or no linear relationship) between the value of the house and its annual rental income.
Problem 3. The economic crisis of 2008 affected many countries, though some more than others.Some people in Australia have claimed that Australia wasn't hurt that badly from the crisis. The bank assets (in billions of Australia dollars (AUD)) of the Reserve Bank of Australia (RBA) for the time period of March 2006 through March 2013 are contained in the table below.
Table: Data of Date versus RBA Assets
Date | Assets in billions of AUD |
Mar-2006 | 96.9 |
Jun-2006 | 107.4 |
Sep-2006 | 107.2 |
Dec-2006 | 116.2 |
Mar-2007 | 123.7 |
Jun-2007 | 134.0 |
Sep-2007 | 123.0 |
Dec-2007 | 93.2 |
Mar-2008 | 93.7 |
Jun-2008 | 105.6 |
Sep-2008 | 101.5 |
Dec-2008 | 158.8 |
Mar-2009 | 118.7 |
Jun-2009 | 111.9 |
Sep-2009 | 87.0 |
Dec-2009 | 86.1 |
Mar-2010 | 83.4 |
Jun-2010 | 85.7 |
Sep-2010 | 74.8 |
Dec-2010 | 76.0 |
Mar-2011 | 75.7 |
Jun-2011 | 75.9 |
Sep-2011 | 75.2 |
Dec-2011 | 87.9 |
Mar-2012 | 91.0 |
Jun-2012 | 90.1 |
Sep-2012 | 83.9 |
Dec-2012 | 95.8 |
Mar-2013 | 90.5 |
Create a time-series plot of the data in the above table and interpret any findings.
Problem 4. The lengths (in kilometers) of rivers on the South Island of New Zealand that flow to the Pacific Ocean are listed in the table below.
Table: Length of Rivers (km) Flowing to the Pacific Ocean
River | Length (km) |
Clarence | 209 |
Conway | 48 |
Waiau | 169 |
Hurunui | 138 |
Waipara | 64 |
Ashley | 97 |
Waimakariri | 161 |
Selwyn | 95 |
Rakaia | 145 |
Ashburton | 90 |
Clutha | 322 |
Taieri | 288 |
Shag | 72 |
Kakanui | 64 |
Rangitata | 121 |
Ophi | 80 |
Pareora | 56 |
Waihao | 64 |
Waitaki | 209 |
For the data in the above table, find the following:
(a) Mean
(b) Median
(c) Mode
(d) Range
(e) Variance
(f) Standard Deviation
Problem 5. State which type of measurement scale (e.g., nominal, ordinal, etc.) each of the following represents, and then which center measures (e.g., mean, mode, etc.) can be used for the variable?
(a) You collect data on the height of plants using a new type of soil.
(b) You collect data on the cars that people drive in Sydney, Australia.
(c) You collect data on the temperature at different locations in Antarctica.
(d) You collect data on the first, second, and third winner in a wine competition.
Problem 6. Employees at Anne Arundel Community College (AACC) are evaluated based on goal setting and accomplishments toward goals, job effectiveness, competencies, and AACC core values. Suppose for a specific employee:
Goal 1 has a weight of 20%
Goal 2 has a weight of 20%
Goal 3 has a weight of 10%
Job effectiveness has a weight of 25%
Competency 1 has a weight of 4%
Competency 2 has a weight of 3%
Competency 3 has a weight of 3%
Competency 4 has a weight of 5%
Core values has a weight of 10%.
Suppose the employee has scores of 2.0 for Goal 1, 2.0 for Goal 2, 4.0 for Goal 3, 3.0 for Job effectiveness, 2.0 for Competency 1, 3.0 for Competency 2, 2.0 for Competency 3, 3.0 for Competency 4, and 4.0 for Core values.
(a) Find the weighted average score for this employee.
(b) AACC policy is that if an employee has a weighted average score less than 2.5, the employee must have a Performance Enhancement Plan written.Does this employee need a plan?
Problem 7.The We-Print-Everything printing company spends specific amounts on fixed costs every month. The fixed costs are shown in the table below.
Table: Fixed Costs for the We-Print-Everything Printing Company
Monthly charges | Monthly cost ($) |
Bank charges | 482 |
Cleaning | 2208 |
Computer expenses | 2471 |
Lease payments | 2656 |
Postage | 2117 |
Uniforms | 2600 |
For the data in the above table, find the following:
(a) Mean
(b) Median
(c) Range
(d) Variance
(e) Standard Deviation
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