Exhibit 6-1
the Following Table Is a View of BILLING_HOURS

question 85

Multiple Choice

Exhibit 6-1
The following table is a view of BILLING_HOURS from the various data elements in High-Tech Corp.'s relational database. $\begin{array}{|c|c|c|c|c|c|}\hline\text { I BILLING HOURS }& \text { Employee No } & \text { Clieat No } & \text { Date } & \text { Hours } & \text { Ballizug Rate } \\\hline &\text { B122 } & \text { F26768 } & 20010823 & 8 & 150 \\\hline &\text { A632 } & \text { F11555 } & 20010823 & 7 & 100 \\\hline& \text { B122 } & \text { F26768 } & 20010824 & 8 & 150 \\\hline& \text { A632 } & \text { F11555 } & 20010824 & 6 & 100 \\\hline& \text { B122 } & \text { F26768 } & 20010825 & 9 & 150 \\\hline &\text { A632 } & \text { F11555 } & 20010825 & 10 & 100 \\\hline\end{array}$


-Refer to Exhibit 6-1. Which of the following SQL statements would extract the employee number and date for every instance that an employee worked more than 8 hours any particular day?

• A) SELECT Employee_No, Date
• FROM BILLING_HOURS
• WHERE Hours>8
• B) QUERY Employee_No, Date
• FROM BILLING_HOURS
• WHERE Hours>8
• C) SELECT Employee_No, Date
• WHERE Hours>8
• D) QUERY BILLING_HOURS
• SELECT Employee_No, Date
• WHERE Hours>8

Identify and explain Gestalt principles such as proximity, closure, and similarity.

Recognize the impact of visual illusions and feature detectors on perception.

Differentiate between Gestalt psychology and other psychological approaches.

Comprehend how perceptions are influenced by patterns and configurations.

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Definitions:

Level

The magnitude or position on a scale, often used to describe the intensity or degree of a certain variable in data analysis.

Trend

A general direction in which something is developing or changing, often identified through analysis of data over time.

Double Forecasting Model

A predictive analysis technique that utilizes two different forecasting methods to improve the accuracy of future predictions.

Seasonal Additive Model

An approach in forecasting that considers and adds seasonal components to predict trends and patterns.