MIS 660 Topic 1 Aggregating Data GCU

MIS 660 Topic 1 Aggregating Data GCU

MIS 660 Topic 1 Aggregating Data GCU

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MIS 660 Topic 1 Aggregating Data GCU

The purpose of this assignment is to use a spreadsheet to create a visual representation of a data set.

For this assignment, you will use the “Heights” dataset. In the dataset, the heights (in mm) of n = 199 married couples are recorded. The data comes from a random sample from the much larger population of married couples. Complete each of the steps below to create a visual representation of the dataset.

Part 1:

Using Excel functions, calculate the following summary values for each of the three variables:

  1. Minimum
  2. First quartile
  3. Second quartile (Median)
  4. Third quartile
  5. Maximum
  6. Mean
  7. Range
  8. Sample standard deviation
  9. Sample variance
  10. Coefficient of variation

Part 2:

Address each of the following questions in a written Word document.

  1. On average, are husbands or wives taller? What is the average difference in millimeters between the two genders? Explain your answer.
  2. How would you interpret the median heights?
  3. Compare the means and the medians for each dataset. What initial conclusions can be made here regarding the “contour” of each dataset?
  4. Compare the standard deviation values. Which dataset (husbands or wives) has the most dispersion? What does your conclusion suggest?
  5. Given the answers in question 1, compare the variability of heights between husbands and wives. Which partner type is more likely to have extremely tall individuals (outliers)?
  6. Interpret the % coefficient of variation.

Part 3:

Your manager has requested some additional information from you regarding the data. Specifically, you have been asked to calculate the differences between “Male Heights” and “Female Heights.” Your manager is only interested in married couples in which the husbands are taller than their wives. Repeat the analyses requested in Part 1 for this new dataset. What conclusions can be drawn here? Include discussion about whether outliers exist in this dataset.

APA format is not required, but solid academic writing is expected.

This assignment uses a grading rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are not required to submit this assignment to LopesWrite.

 

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MIS 660 Topic 1 Aggregating Data GCU

Best MIS 660 Topic 1 Aggregating Data GCU

MIS 660 Topic 1 Aggregating Data GCU

ACCT 553 DeVryBIAM 500 DeVryCIS 500 STRCIS 558 STRENG 105 GCUFIN 390 DeVryFIN 504 GCUHCA 545 GCUHCA 699 GCUHLT 306 GCUHLT 362 GCUHLT 555 GCUHLT 610 GCUHLT 665 GCUHOSP 594 DeVryHRM 600 DeVryMAT 144 GCUMGMT 600MGT 599 STRMGT 655 GCUMKT 373 GCUPSY 362 GCUPSY 565 GCUPSY 575 GCUPSY 665 GCUSOC 102 GCUSOC 320 GCUSOC 372 GCUSOC 412 GCUNSG 6440 SUHIM 515 GCUNSG 4029 SUHIM 615 GCUNSG 3029 SUNSG 4055 SUNSG 6630 SUNSG 6005 SUCRMJ 310PSY 510 GCUCRMJ 300 DevryCRMJ 425SPD 200 GCU, HLT 490 GCU ,ECH 340 GCU , ECH 440 GCU , ECH 355 GCU ,ECH 350 GCU ,LDR 461 GCU ,ECH 425 GCU ,REL 212 STR ,SCI 115 STR ,CIS 505 STR ,JUS 652 GCUMGT 640 GCUCIS 527 STRSOC 436 GCU,ACC 502 GCUFIN 504 GCU , MATH 260 DeVry ,ETHC 445 DeVry ,ECET 220 DeVry , CARD 405 DeVryNETW 203 DeVryNETW 205 DeVryECET 365 DeVry ,MATH 270 DeVry ,PHYS 310 DeVry, BIB 106 GCU ,CIS 512 STR ,SYM 506 GCU ,ECN 601 GCU  ,BIAM 570 DeVryPSY 402 GCU , SOC 480 GCU , BIAM 530 DeVry,  DNP 810 GCU , DNP 820 GCU , DNP 825 GCU , ECN 450 GCU , DNP 830 GCU , LDR 804 GCU , MAT 105 GCU , ECS 501 GCUECS 555 GCU , TSL 552 GCU , ECS 560 GCU , NRS 493 GCU , ECS 570 GCU , BUS 352 GCU , MIS 660 GCU

 

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