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31 Pages
###### UUIS8008 Business intelligence systems

Task1Exploratory Data Analysis, Decision Tree and Linear Regression model Analysis Now-a-days Kiwi commercial banks are using data mining techniques, machine learning, statistics and artificial intell ...

Type

Assignment

Subject

Statistics

University

Auckland University of Technology

11 Pages
###### Management

Remind yourself of the APIC’s assessment approach. Check APIC’s requirements for the assignment. Note whether the assignment is at undergraduate or postgraduate level (and identify the spe ...

Type

Assignment

Subject

Statistics

6 Pages
###### BUS107e Quantitative Methods

SIM Machinery is a local precision engineering manufacturer that specialised in manufacturing complex special process components for Oil & Gas and Aerospace Industries. SIM Machinery has 4 main pr ...

Type

Home Work

Subject

Statistics

0 Page
###### Data Set Description and Method

...

Course

STAT200

Subject

Statistics

University

University of Maryland Global Campus

Season

Spring

Answered

### Question

(a) Misinterpretation is a common problem when using statistical information. It may be caused by a number of factors, such as misunderstanding the data, using incomparable definitions, or even deliberately misinterpreting the information. Please describe two (2) recent examples in real life where statistics are misinterpreted. Explain in detail how they are misinterpreted and what should be the correct interpretation.

(b) Employees in a big company are rated on their performance and their potential for advancement. The data for the 250 sampled employees are summarised in the following table.

(i) State the probability that an employee selected at random has average performance?

(ii) State the probability that an employee selected at random has average performance and has excellent potential for advancement?

(iii) State the probability that an employee selected at random has above average performance or good potential for advancement?

(iv) State the probability that an employee selected at random will have an excellent potential for advancement given that he/she has average performance?

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Tellus molestie nunc non blandit massa enim nec dui. Tellus molestie nunc non blandit massa enim nec dui. Ac tortor vitae purus faucibus ornare suspendisse sed nisi. Pharetra et ultrices neque ornare aenean euismod. Pretium viverra suspendisse potenti nullam ac tortor vitae. Morbi quis commodo odio aenean sed. At consectetur lorem donec massa sapien faucibus et. Nisi quis eleifend quam adipiscing vitae proin sagittis nisl rhoncus. Duis at tellus at urna condimentum mattis pellentesque. Vivamus at augue eget arcu dictum varius duis at. Justo donec enim diam vulputate ut. Blandit libero volutpat sed cras ornare arcu. Ac felis donec et odio pellentesque diam volutpat commodo. Convallis a cras semper auctor neque. Tempus iaculis urna id volutpat lacus. Tortor consequat id porta nibh.

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### UUIS8008 Business intelligence systems

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Remind yourself of the APIC’s assessment approach. Check APIC’s requirements for the assignment. Note whether the assignment is at undergraduate or postgraduate level (and identify the specific AQF level). Step 2. Familiarise yourself with the specific assignment. Read the assignment and ...

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