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1

Statistics

1. __________ is a set of data used to assess the degree and strength of a predicted relationship

2. Which approach to data analytics attempts to predict a relationship between two data items?

3. In general, the more complex the model, the greater the chance of

4. In general, the more simple the model, the greater the chance of

5. Which approach to data analytics attempts to assign each unit in a population into a small set of classes where the unit belongs?

6. An auditor is trying to figure out if the inventory at an electronics store chain is obsolete. From the list below, identify whether each attribute would be useful for predicting inventory obsolescence or not.

 
 

 

 

 

 

Attributes

Predictive?

Inventory location

 

Purchase date

 

Manufacturer

 

Identified as obsolete

 

Sales revenue

 

Inventory color

 

Inventory cost

 

Inventory description

 

Inventory size

 

Inventory type

 


 

7. If an investor wanted to do an analysis of the industry's inventory turnover using XBRL, select the tags that would be used in an inventory turnover calculation:

 
 

 

 

 

 

Query

Tag

Company Filter:

 

Date Filter:

 

Numerator:

 

Denominator

 

 

8. Identify the behavior, error, or fraudulent scheme that could be detected when you apply Benford's Law to the following accounts.

 
 

 

 

 

 

Account

Behavior detected using Benford's Law

Sales records

 

Purchases

 

Travel and entertainment

 

Vendor payments

 

 

9. In this lab, you will:

 

Part 1: Identify a problem that will require data reduction techniques.

Part 2: Master the data and prepare for analysis.

Part 3: Perform data reduction.

 

Refer to Chapter 3 pages 116 through 120 for instructions and steps for each of the lab parts. After completing Lab parts 1 through 3, complete the following requirements.

 

Software Needed

 

Data


After filtering the data in Step 30, how many records from 2019 remain?

 
 

 

 

 

   

 

10. After filtering the data in Step 3, how many vendors have similar addresses to employees?

 
 

 

 

 

   

 

11. Required:

1-a. Would you expect SAT average and completion rate to be correlated?

 

 

1-b. Would you expect the correlation to be positive or negative?

 

12. When determining relationships between variables, one of the criteria for a potential causal relationship is that the cause must happen before the effect. The two variables we are testing are SAT average and completion rate. Match the variable with its place in the relationship, either cause or effect.

 

 
 

 

 

 

13. After running the regression analysis in Part 3, input the numbers for the following coefficients. (Round your answers to 3 decimal places. Enter negative answers with minus sign.) 


 


 

 

14. In this lab, you will:

  • Conduct analysis on one important question that helps us understand when customers spend more in individual transactions.

 

Refer to Chapter 3 pages 134 through 137 for instructions and steps for each of the lab parts. After completing Lab parts 1 through 4, complete the following requirements.

 

Software needed

  • Microsoft SQL Server Management Studio (available on the VMWare at the University of Arkansas)
  • Excel 2016 (available on the VMWare at the University of Arkansas)

 

Data

The data for this lab and all other Dillard's labs must be accessed through the University of Arkansas Remote Desktop. Documentation on how to connect and log in to the remote desktop can be found below by operating system. Contact your course instructor for the specific login credentials. The 2016 Dillard's data cover all transaction over the period 1/1/2014 to 10/17/2016

 

 

 

Required:

After running the regression analysis with all three explanatory dummy variables included, input the numbers for the following coefficients.

 

 

 

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