QMB 2100 Auburn University Main Campus Week 1 Automobiles Statistical Questions

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XevfJh

Mathematics

QMB 2100

Auburn University Main Campus

QMB

Question Description

Help me study for my Statistics class. I’m stuck and don’t understand.

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Name: DATA Set: Indicate one: Automobiles Homes Apartments Directions: Fill in the answer to the questions posed below. Attach the specified printouts where indicated and upload the project in Canvas on or before May 25th at midnight. Please give specific interpretations as generic answers will not receive full credit. 1. Identify your experimental unit for this project: _______________________________ 2. Identify the three variables that you collected data for your project and give the type of variable (Quantitative or Qualitative) for each. Variable 1: ________________ Type: ___________________ Variable 2: ________________ Type: ___________________ Variable 3: ________________ Type: ___________________ 3. Give me an assessment of the shape of the prices (rent or asking) that you entered data from. What shape do you think the data possess? Attach both the stem-and-leaf display and the histrogram for the price variable for all 75 observations below your assessment of the shape. Assessment of the shape: Paste your stem-and-leaf display here using a courier new font. Paste your histogram here 4. Copy and paste the descriptive statistics for the size or mileage variable for all 75 observations in the box to the right. Make sure the output contains the N, mean, median, standard deviation, min/max, and the quartiles of the variable specified. Interpret in the words of the problems the following statistics that you generated: Paste your descriptive statistics here using a courier new font! Median: Standard Deviation: Identify the minimum and maximum size or mileage values for your 75 in the data set. Calculate (please show your math) the z-score for both these prices. Use these z-scores to tell me whether you believe these two values are outliers and why/why not. Zminimum = Zmaximum = 5. I want you to use the boxplot method to identify outliers in your data set for the price (rent or asking) variable. I want you to consider the three locations/models separately, however. Use a single boxplot to identify both outliers and suspect outliers that are present in each of the three locations/models sampled. Attach the boxplots of the prices for each of the three locations/models below. (You should have one printout that contains three boxplots). Identify how many outliers and suspect outliers you have for each Location/Model that you sampled. Make sure you check for both types of outliers (even if you tell me you don’t have any of one, or both, types) for each Location/Model! Location/Model 1: Location/Model 2: Location/Model 3: Paste your boxplot here
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Explanation & Answer

Attached.

Name:
DATA Set: Indicate one:

Automobiles

Homes

Apartments

Directions: Fill in the answer to the questions posed below. Attach the specified
printouts where indicated and upload the project in Canvas on or before May 25th
at midnight. Please give specific interpretations as generic answers will not
receive full credit.
1. Identify your experimental unit for this project: ________used car__________

2. Identify the three variables that you collected data for your project and give the type of
variable (Quantitative or Qualitative) for each.
Variable 1:

___Asking Price_____________

Variable 2:

___Mileage_____________

Variable 3:

_____Model_______

Type: ____Quantitative____________

Type: _____Quantitative____________

Type: ____Qualitative___________

3. Give me an assessment of the shape of the prices (rent or asking) that you entered data
from. What shape do you think the data...

Qnevn4117 (1843)
UIUC

Anonymous
Awesome! Perfect study aid.

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