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2
Data Analysis: Descriptive Statistics and Assumption Testing
Describe the Sun Coast Remediation data using the descriptive
statistics tools discussed
in the lecture. Establish whether assumptions are met to use
parametric statistical procedures.
Repeat this for each tab in the Sun Coast Remediation Research
Study data set. Delete
instructions and examples highlighted in yellow before
submitting this assignment.
Correlation: Descriptive Statistics and Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
3
Simple Regression: Descriptive Statistics and Assumption
Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
Multiple Regression: Descriptive Statistics and Assumption
Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
4
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
Independent Samples t Test: Descriptive Statistics and
Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
5
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
Dependent Samples (Paired-Samples) t Test: Descriptive
Statistics and Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
6
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
ANOVA: Descriptive Statistics and Assumption Testing
Frequency Distribution Table
Insert frequency distribution table here. Cut and paste from
Excel.
Histogram
Insert histogram here. Cut and paste from Excel.
Descriptive Statistics Table
Insert table here. Cut and paste from Excel.
Measurement Scale
Discuss measurement scale used here (e.g., nominal, ordinal,
interval, or ratio).
Measure of Central Tendency
Discuss measures of central tendency here and the relevance to
normality of data (e.g.,
mean, median, and mode).
Skewness and Kurtosis
Discuss skewness and kurtosis and whether they are within
acceptable ranges.
Evaluation
In this section, evaluate and discuss the descriptive statistics
above. Conclude with an
explicit statement about whether the assumptions for parametric
statistical testing were met or
not met.
7
References
Include references here using hanging indentations.
Creswell, J. W., & Creswell, J. D. (2018). Research design:
Qualitative, quantitative, and mixed
methods approaches (5th ed.). SAGE.
Correlation Datajob sitemicronsmean annual sick days per
employee141126.573854855410677721185.5995710410114.581
28.5413771458159.531677179.55189.571951020662185227.562
38.55249425372667277.57287.55292.773029317.563294336634
3835853618378.55380.78390.58408.544128424.5943674477455
10462.5124759484749855057513.5952865355544.910557.5956
2.57576.575886595660766149628563186428654106649677768
5.2106957706671867267736.56741.58758.56762877857810479
1058088811882768310284788576866.57877.56888.568938900.
599118929693779429958.57963.5997389876995.571007.57101
0.2121024810359
Simple Regression Datacontract #safety training expenditurelost
time
hours11161985.12102051500.003021461126.464016031294.104
09141445.56404371112.47505981720.816028011789.66601420
1837.52606822000.00607142271.866023361507.977022161542.
337013271544.907010251547.16709201567.55704651600.0070
1381452.698014111500.008014391500.008023881326.6090184
91351.259017401380.699016661423.579016721095.581002455
1132.881004031134.581008561163.4410020501170.921001271
1177.0510024291188.191008121323.291004051051.171101630
1054.0311023761071.751108611077.8611024361080.34110369
23.3712030957.1712076964.111201155976.641201273982.0612
01886985.69120630985.971204071000.001204881002.2712019
711035.4312062910.85130118912.351302912.3513042917.0213
092917.02130160922.02130149922.02130178950.00130160804.
2814056826.86140152832.871403836.33140196842.961401578
56.99140221883.8814062888.5714064893.36140143900.891401
39910.85140217759.86150182767.13150162777.24150159784.2
2150162785.69150145785.69150203792.35150135799.9015015
8800.62150182801.5815035746.02160163756.98160105759.521
60163700.93170131709.4017073715.6817055724.94170181612.
23180124613.7018055624.54180136635.191805642.791801796
44.15180150656.14180140669.8118096669.81180157678.60180
51689.55180153526.48185137537.35185195561.96185116564.1
6185196566.5018565568.95185194574.51185113579.32185855
83.63185190601.43185148607.2618554611.48185183393.77190
100405.9119092406.81190157426.7819040429.50190217450.56
190137456.9019091471.8119096474.76190203500.9219020550
3.17190188507.6419029507.77190189509.4319034513.6919056
514.0719049526.14190145336.5120011344.3920075345.692001
55365.99200132377.93200168385.0520065391.7520038264.002
10186264.002109264.00210146265.40210123268.60210108275.
70210221283.16210201288.0021025288.0021072295.84210213
300.00210129305.27210195313.36210141244.0022075250.5722
033255.12220119256.89220205263.27220120263.60220110223.
64230208226.6523019230.00230211230.00230221231.5223023
233.29230133234.0023019234.0023084234.00230167234.00230
96234.00230200234.57230171236.6023018236.91230107237.70
230152243.24230120244.00230143218.0023524205.002401042
06.97240170215.37240115215.69240159215.99240125217.9924
0128218.00240105205.00245209169.58250190174.0925019917
9.06250110179.78250151192.61250219196.6525033201.362501
56202.71250161204.57250133205.00250131135.9926054145.59
26024152.6126048125.63270212128.0027091128.00270445.302
8018745.6928013450.002802451.23280656.8928013568.952801
32102.57280101102.5728034102.6428027103.5728086125.1828
0184731.362853570.9229014075.9029017397.97290131100.002
9042100.0029095100.0329017102.5629068102.5729019756.903
005956.90300268.0930011968.593001942.573202845.69320653
0.433301835.993309525.6934020126.603404026.9034019920.4
6360
Multiple Regression Datacontract #Frequency (Hz)Angle in
DegreesChord LengthVelocity (Meters per
Second)DisplacementDecibel142080000.180971.30.0026633712
6.201682100000.089371.30.00266337125.201714125000.03137
1.30.00266337125.9512336160000.186771.30.00266337127.591
2216200000.070571.30.00266337127.4611327250000.128171.3
0.00266337125.5711025315000.196671.30.00266337125.20192
0400000.135371.30.00266337123.061465500000.168871.30.002
66337121.301138630000.157871.30.00266337119.54114118000
00.055871.30.00266337117.15114391000000.151371.30.002663
37115.39123881250000.123871.30.00266337112.241184916000
00.127671.30.00266337108.721174050000.166655.50.00283081
126.416166663000.151555.50.00283081127.696167280000.122
955.50.00283081128.0862455100000.098555.50.00283081126.9
66403125000.172455.50.00283081126.086856160000.112755.5
0.00283081126.9862050200000.070555.50.00283081126.61612
71250000.198855.50.00283081124.1062429315000.115955.50.0
0283081123.236812400000.033255.50.00283081121.106405500
000.036455.50.00283081119.6061630630000.123155.50.002830
81117.9762376800000.065755.50.00283081116.4768611000000
.136555.50.00283081113.07624361250000.117855.50.00283081
111.0763620000.175239.60.00310138118.1293025000.188639.6
0.00310138119.3197631500.032839.60.00310138122.77911554
0000.04239.60.00310138124.809127350000.118839.60.0031013
8126.959188663000.140939.60.00310138128.62963080000.195
339.60.00310138129.099407100000.09539.60.00310138127.899
488125000.103339.60.00310138125.4991971160000.120539.60.
00310138124.04962200000.079239.60.00310138123.689118250
000.153839.60.00310138121.3992315000.112239.60.003101381
20.31942400000.111339.60.00310138119.22992500000.039539.
60.00310138117.789160630000.115839.60.00310138116.22914
9800000.153139.60.00310138114.7791781000000.053639.60.00
310138112.1391601250000.061439.60.00310138109.619562000
0.198931.70.00331266117.19515225000.14831.70.00331266118
.595331500.189431.70.00331266122.76519640000.100431.70.0
0331266125.04515750000.140231.70.00331266127.3152216300
0.091431.70.00331266129.0956280000.044331.70.00331266129
.23564100000.091731.70.00331266127.365143125000.073831.7
0.00331266124.355139160000.106931.70.00331266122.365217
200000.059231.70.00331266122.375182250000.130431.70.0033
1266120.755162315000.172231.70.00331266119.135159400000
.1431.70.00331266118.145162500000.053331.70.00331266115.
645145630000.038631.70.00331266113.775203800000.061131.
70.00331266110.5151351000000.051231.70.00331266108.2651
588001.50.052571.30.00336729127.12218210001.50.11971.30.0
0336729125.9923512501.50.050271.30.00336729125.87216316
001.50.167571.30.00336729126.63210520001.50.076971.30.003
36729126.64216325001.50.184871.30.00336729124.512131315
01.50.030171.30.00336729123.3927340001.50.108671.30.00336
729121.7625550001.50.033671.30.00336729119.63218163001.5
0.141471.30.00336729118.12212480001.50.090871.30.0033672
9115.37255100001.50.189971.30.00336729113.492136125001.5
0.041171.30.00336729109.2225160001.50.195271.30.00336729
106.5821793151.50.185439.60.00392107121.8511504001.50.15
9439.60.00392107124.0011405001.50.069439.60.00392107126.
661966301.50.11939.60.00392107128.3111578001.50.099239.6
0.00392107128.8315110001.50.161739.60.00392107127.581153
12501.50.035239.60.00392107125.21113716001.50.155839.60.0
0392107122.21119520001.50.192939.60.00392107122.1011162
5001.50.110639.60.00392107120.98119631501.50.037239.60.00
392107119.1116540001.50.078839.60.00392107117.741194500
01.50.144339.60.00392107116.24111363001.50.14539.60.00392
107114.7518580001.50.123539.60.00392107112.251190100001.
50.093939.60.00392107108.991148125001.50.130739.60.00392
107106.1115440030.136571.30.00425727127.56418350030.157
871.30.00425727128.45410063030.145371.30.00425727129.354
9280030.171171.30.00425727129.494157100030.104971.30.004
25727129.00440125030.120171.30.00425727127.634217160030
.106971.30.00425727126.514137200030.141571.30.0042572712
5.52491250030.137171.30.00425727124.02496315030.039671.3
0.00425727121.514203400030.180971.30.00425727120.264205
500030.135971.30.00425727118.134188630030.086271.30.0042
5727116.13429800030.171371.30.00425727114.6341891000030
.061771.30.00425727110.2243440030.035155.50.00452492126.
1595650030.086955.50.00452492128.1794963030.09255.50.004
52492129.56914580030.046355.50.00452492129.94911100030.
091255.50.00452492129.32975125030.118955.50.00452492127.
329155160030.072855.50.00452492124.439132200030.097455.
50.00452492123.069168250030.171955.50.00452492122.43965
315030.160155.50.00452492120.18938400030.136555.50.00452
492118.689186500030.176955.50.00452492117.3099630030.12
0755.50.00452492115.679146800030.046455.50.00452492113.7
991231000030.05455.50.00452492112.16910831530.132539.60.
00495741123.31222140030.134239.60.00495741125.472201500
30.075539.60.00495741127.6322563030.129939.60.0049574112
9.2927280030.093239.60.00495741129.552213100030.051439.6
0.00495741128.312129125030.108939.60.00495741125.802195
160030.088639.60.00495741122.782141200030.037539.60.0049
5741120.53275250030.136739.60.00495741120.16233315030.0
87839.60.00495741118.922119400030.052739.60.00495741116.
792205500030.080439.60.00495741115.792120630030.104639.
60.00495741114.042110800030.037639.60.00495741110.65220
831530.086631.70.00529514123.1181940030.170631.70.005295
14125.39821150030.041531.70.00529514127.54822163030.147
831.70.00529514128.6982380030.107631.70.00529514128.7081
33100030.126731.70.00529514126.83819125030.0531.70.00529
514124.83884160030.134731.70.00529514122.088167200030.1
08731.70.00529514120.08896250030.143531.70.00529514119.5
98200315030.197331.70.00529514118.108171400030.104431.7
0.00529514115.60818500030.084131.70.00529514113.8581076
30030.183831.70.00529514109.71815225040.09371.30.0049777
3126.39512031540.169771.30.00497773128.17514340040.0768
71.30.00497773129.5752450040.109171.30.00497773130.71510
463040.079371.30.00497773131.61517080040.152971.30.00497
773131.755115100040.09871.30.00497773131.015159125040.1
10571.30.00497773129.395125160040.062271.30.00497773126.
645128200040.132771.30.00497773124.395105250040.037271.
30.00497773123.775209315040.147771.30.00497773121.77519
0400040.116171.30.00497773119.535199500040.154171.30.004
97773117.785110630040.048971.30.00497773116.16515180004
0.059171.30.00497773113.6652191000040.17971.30.004977731
10.905331250040.176571.30.00497773107.40515625040.14913
9.60.00579636123.54316131540.097139.60.00579636126.84313
340040.15439.60.00579636128.63313150040.193339.60.005796
36130.1735463040.145839.60.00579636131.0732480040.13643
9.60.00579636130.72348100040.170539.60.00579636128.72321
2125040.191539.60.00579636126.34391160040.090739.60.0057
9636123.2134200040.107139.60.00579636120.963187250040.0
70139.60.00579636120.233134315040.082439.60.00579636118.
74324400040.088939.60.00579636115.8636500040.150939.60.0
0579636113.733135125000.184171.30.00214345128.144132160
000.095271.30.00214345129.134101200000.114271.30.0021434
5128.24434250000.078871.30.00214345128.35427315000.1754
71.30.00214345127.83486400000.047871.30.00214345125.8241
84500000.127971.30.00214345124.30435630000.129971.30.002
14345122.044140800000.132271.30.00214345118.02417310000
00.134371.30.00214345118.1341311250000.118671.30.0021434
5117.624421600000.095171.30.00214345114.984952000000.12
8671.30.00214345114.4741731500.085255.50.00229336119.546
840000.031855.50.00229336121.6619750000.06955.50.0022933
6123.785963000.194955.50.00229336126.16280000.080755.50.
00229336127.53119100000.19455.50.00229336128.2919125000
.08355.50.00229336127.9128160000.185255.50.00229336126.7
965200000.071955.50.00229336126.5418250000.074855.50.002
29336126.5495315000.090755.50.00229336125.16201400000.1
26855.50.00229336123.4140500000.12555.50.00229336122.411
99630000.085955.50.00229336118.41111631500.164139.60.002
53511121.05520540000.070839.60.00253511123.565214650000
.036639.60.00253511126.195160363000.147339.60.0025351112
8.70591480000.122139.60.00253511130.205437100000.053339.
60.00253511130.435598125000.035939.60.00253511129.39528
01160000.075239.60.00253511127.0951420200000.032239.60.0
0253511125.305682250000.052539.60.00253511125.025714315
000.081339.60.00253511124.6252336400000.04939.60.0025351
1123.4652216500000.168839.60.00253511122.1751327630000.
137339.60.00253511117.465102531500.033931.70.0027238120.
59592040000.157431.70.0027238123.63546550000.164431.70.0
027238126.67513863000.161931.70.0027238129.465141180000
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5952388125000.056131.70.0027238128.8051849160000.037631
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6250000.065931.70.0027238123.4451672315000.184431.70.002
7238123.4452455400000.168431.70.0027238122.035403500000
.114631.70.0027238120.505856630000.036431.70.0027238116.
815205040020.080571.30.00293031125.116127150020.051771.
30.00293031126.486242963020.045571.30.00293031127.35681
280020.03871.30.00293031128.216405100020.050171.30.00293
031128.9561630125020.165771.30.00293031128.816237616002
0.182571.30.00293031127.796861200020.053471.30.002930311
26.8962436250020.063571.30.00293031127.00636315020.0456
71.30.00293031126.11630400020.179471.30.00293031124.0867
6500020.109671.30.00293031122.8161155630020.067671.30.00
293031120.7861273800020.117571.30.00293031115.996188610
00020.045371.30.00293031113.08663040020.074255.50.003135
25122.29240750020.101655.50.00313525124.69248863020.039
455.50.00313525126.842197180020.110855.50.00313525128.49
262100020.081455.50.00313525129.002118125020.074555.50.0
0313525128.7622160020.131855.50.00313525126.75242200020
.192255.50.00313525124.61292250020.054855.50.00313525123
.862160315020.082855.50.00313525123.742149400020.189655.
50.00313525122.232178500020.127655.50.00313525120.47216
0630020.110355.50.00313525118.7125631520.094239.60.00346
574120.13715240020.199539.60.00346574122.147350020.1147
39.60.00346574125.15719663020.156739.60.00346574127.4171
5780020.106739.60.00346574129.037221100020.164539.60.003
46574129.14762125020.146739.60.00346574128.25764160020.
030139.60.00346574125.837143200020.079839.60.0034657412
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31.70.0418756110.307115400012.30.133231.70.0418756108.40
7159500012.30.031431.70.0418756107.147125630012.30.19893
1.70.0418756107.26712820015.60.186671.30.0437259130.8981
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0437259133.80819040015.60.186371.30.0437259134.05819950
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60.175471.30.0437259124.43833125015.60.032471.30.0437259
123.178156160015.60.09871.30.0437259121.528161200015.60.
153571.30.0437259119.888133250015.60.198271.30.043725911
8.998131315015.60.128871.30.0437259116.46854400015.60.06
0871.30.0437259113.2982420015.60.175439.60.0528487123.51
44825015.60.1439.60.0528487124.64421231515.60.076339.60.0
528487122.7549140015.60.108839.60.0528487120.484450015.6
0.054339.60.0528487115.30418763015.60.154439.60.05284871
18.08413480015.60.045339.60.0528487118.96424100015.60.11
9739.60.0528487119.2246125015.60.19239.60.0528487118.214
135160015.60.159939.60.0528487114.554132200015.60.196739
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4315015.60.164439.60.0528487109.25427400015.60.135439.60.
0528487106.60486500015.60.191539.60.0528487106.22418463
0015.60.1939.60.0528487104.204
Independent t Test DataGroup A Prior Training ScoresGroup B
Revised Training
Scores88888176809689798990618788895680748586886986508
37293657779926575758754887081718279855386807564905879
80768089509561796185748375835478719066895792838668807
79754898084628670807081828750836579768564775583618691
856891708850856491738273847282788470817684
Paired Samples t Test DataEmployeePre-Exposure μg/dLPost-
Exposure
μg/dL166288310104121251515616167171781818919191021211
12222122323132323142626152727162828172929182929193131
20313121333322343423343424353525353826364027364228364
42936363038383138383239393339393441413541413641413742
42384242394343404343414444424646434646444848454848464
949475050485050495656
ANOVA One-Way DataConsulting Project Return on Investment
(%)A = AirB = SoilC = WaterD =
Training1110458123661355811669754108861011661297587559
89591076119664975566438655854131012312910711911714812
8
1
Insert Title Here
Insert Your Name Here
Insert University Here
2
Sun Coast Remediation Course Project Guidance
Background
To help make a connection between business research and its
use in the real world, this course
will use an iterative course project. Throughout the term, you
will serve as the health and safety
director for Sun Coast Remediation (Sun Coast).
Sun Coast provides remediation services to business and
governmental organizations. Most of
their contracts involve working within contamination sites
where they remove toxic substances
from soil and water. In addition to the toxicity of the air, water,
and soil their employees come
into contact with, the work environment is physically
demanding and potentially contributory to
injuries involving musculoskeletal systems, vision, and hearing.
Sun Coast genuinely cares about
the health, safety, and well-being of their 5,500 employees, but
they are also concerned about
worker compensation costs and potential long-term litigation
from injuries and illness related to
employment.
Health and Safety Director Task
Sun Coast hired you last month to replace the previous health
and safety director, who left to
pursue other opportunities. This is a critical position within the
company because there are many
health and safety-related issues due to the nature of the work.
The former health and safety
director was in the midst of analyzing these issues through the
implementation of a research
project when she left the organization.
3
Sun Coast Remediation Course Project
Introduction
Senior leadership at Sun Coast has identified several areas for
concern that they believe
could be solved using business research methods. The previous
director was tasked with
conducting research to help provide information to make
decisions about these issues. Although
data were collected, the project was never completed. Senior
leadership is interested in seeing the
project through to fruition. The following is the completion of
that project and includes the
statement of the problems, literature review, research
objectives, research questions and
hypotheses, research methodology, design, and methods, data
analysis, findings, and
recommendations.
Statement of the Problems
Six business problems were identified:
Particulate Matter (PM)
There is a concern that job-site particle pollution is adversely
impacting employee health.
Although respirators are required in certain environments, PM
varies in size depending on the
project and job site. PM that is between 10 and 2.5 microns can
float in the air for minutes to
hours (e.g., asbestos, mold spores, pollen, cement dust, fly ash),
while PM that is less than 2.5
microns can float in the air for hours to weeks (e.g. bacteria,
viruses, oil smoke, smog, soot). Due
to the smaller size of PM that is less than 2.5 microns, it is
potentially more harmful than PM
that is between 10 and 2.5 since the conditions are more
suitable for inhalation. PM that is less
than 2.5 is also able to be inhaled into the deeper regions of the
lungs, potentially causing more
deleterious health effects. It would be helpful to understand if
there is a relationship between PM
size and employee health. PM air quality data have been
collected from 103 job sites, which is
4
recorded in microns. Data are also available for average annual
sick days per employee per job-
site.
Safety Training Effectiveness
Health and safety training is conducted for each new contract
that is awarded to Sun
Coast. Data for training expenditures and lost-time hours were
collected from 223 contracts. It
would be valuable to know if training has been successful in
reducing lost-time hours and, if so,
how to predict lost-time hours from training expenditures.
Sound-Level Exposure
Sun Coast’s contracts generally involve work in noisy
environments due to a variety of
heavy equipment being used for both remediation and the
clients’ ongoing operations on the job
sites. Standard ear-plugs are adequate to protect employee
hearing if the decibel levels are less
than 120 decibels (dB). For environments with noise levels
exceeding 120 dB, more advanced
and expensive hearing protection is required, such as earmuffs.
Historical data have been
collected from 1,503 contracts for several variables that are
believed to contribute to excessive
dB levels. It would be important if these data could be used to
predict the dB levels of work
environments before placing employees on-site for future
contracts. This would help the safety
department plan for procurement of appropriate ear protection
for employees.
New Employee Training
All new Sun Coast employees participate in general health and
safety training. The
training program was revamped and implemented six months
ago. Upon completion of the
training programs, the employees are tested on their knowledge.
Test data are available for two
groups: Group A employees who participated in the prior
training program and Group B
5
employees who participated in the revised training program. It
is necessary to know if the revised
training program is more effective than the prior training
program.
Lead Exposure
Employees working on job sites to remediate lead must be
monitored. Lead levels in
blood are measured as micrograms of lead per deciliter of blood
(μg/dL). A baseline blood test is
taken pre-exposure and postexposure at the conclusion of the
remediation. Data are available for
49 employees who recently concluded a 2-year lead remediation
project. It is necessary to
determine if blood lead levels have increased.
Return on Investment
Sun Coast offers four lines of service to their customers,
including air monitoring, soil
remediation, water reclamation, and health and safety training.
Sun Coast would like to know if
each line of service offers the same return on investment.
Return on investment data are available
for air monitoring, soil remediation, water reclamation, and
health and safety training projects. If
return on investment is not the same for all lines of service, it
would be helpful to know where
differences exist.

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