Which of the Following Correctly Identifies Normal Balances of Accounts

question 98

Short Answer

Which of the following correctly identifies normal balances of accounts? a. $\begin{array}{ll}\text { Assets } & \text { Debit } \\\text { Liabilities } & \text { Credit } \\\text { Common Stock } & \text { Credit } \\\text { Revenues } & \text { Debit } \\\text { Expenses } & \text { Credit }\end{array}$

b. $\begin{array}{ll}\text { Assets } & \text { Debit } \\\text { Liabilities } & \text { Credit } \\\text { Common Stock } & \text { Credit } \\\text { Revenues } & \text { Credit } \\\text { Expenses } & \text { Credit }\end{array}$

c. $\begin{array}{ll}\text { Assets } & \text { Credit } \\\text { Liabilities } & \text { Debit } \\\text { Common Stock } & \text { Debit } \\\text { Revenues } & \text { Credit } \\\text { Expenses } & \text { Debit }\end{array}$

d. $\begin{array}{ll}\text { Assets } & \text { Debit } \\\text { Liabilities } & \text { Credit } \\\text { Common Stock } & \text { Credit } \\\text { Revenues } & \text { Credit } \\\text { Expenses } & \text { Debit }\end{array}$

Recognize the components and infrastructure behind cloud services.

Understand the unique characteristics of services compared to tangible goods.

Recognize the importance and methods of making services more tangible to consumers.

Comprehend the challenges in evaluating and marketing services due to their intangible nature.

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Definitions:

Coefficient of Determination

A statistic used in the context of regression analysis to assess the proportion of the variance in the dependent variable that can be explained by the independent variable(s).

Skin Cancer

A type of cancer that develops in the cells of the skin, often due to exposure to ultraviolet radiation from the sun or tanning beds.

UV's

Short for ultraviolet rays, which are electromagnetic radiation with a wavelength shorter than that of visible light but longer than X-rays.

Pearson Coefficient

A measure of the linear correlation between two variables, ranging from -1 to 1, where 1 implies a perfect positive correlation and -1 a perfect negative correlation.