Question

What scope levels are available for dimensions and metrics?

1) hit-level, session-level, product-level, or user-level scope
2) event, duration, transaction, or user
3) event, session, transaction, or user
4) location, duration, product, or user

Answer 1

There are four levels of measurement for data: nominal, ordinal, interval, and ratio, each with increasing complexity and mathematical properties. The examples provided are classified as ordinal (athletic ability), ratio (baking temperatures), and nominal (crayon colors) respectively. So, the correct option is 1) hit-level, session-level, product-level, or user-level scope

Step-by-step explanation:

When discussing levels of measurement for data, we can use the following four scales:

Nominal scale level: This is the most basic level of measurement, where data falls into categories that cannot be logically ordered nor used in calculations. Examples include colors or types of food.

Ordinal scale level: This type of data can be ordered, such as class rankings or sizes like small, medium, and large. However, the exact differences between the ordered categories cannot be determined.

Interval scale level: This data has a specific order and the differences between data points can be measured; however, there is no natural zero point. A common example is temperature in Celsius or Fahrenheit.

Ratio scale level: The highest level of measurement, ratio data, has all the properties of interval data but with a clear definition of zero. It allows for the comparison of both differences and the ratio of data points. Examples include height, weight, and age.

Applying these scales to each example:

High school soccer players categorized by athletic ability ('superior', 'average', 'above average') would use the ordinal scale level because the categories can be logically arranged in an order based on performance.

Baking temperatures for dishes represent the ratio scale level due to the temperatures being measurable, having meaningful differences, and a true zero point.

The colors of crayons in a box fall under the nominal scale level because crayon colors are categorical and do not have a logical order or numerical difference that can be measured.

So, the correct option is 1) hit-level, session-level, product-level, or user-level scope

Answer 2

The correct scope levels for dimensions and metrics are **1) hit-level, session-level, product-level, or user-level scope**.

Step-by-step explanation:

In the context of analytics and data measurement, scope levels define the extent to which dimensions and metrics apply. The correct scope levels are provided in option 1: hit-level, session-level, product-level, and user-level scope.

1. Hit-level scope: This refers to individual interactions with a website or app, often representing a single request for data. Hit-level dimensions and metrics are specific to each interaction.

2. Session-level scope: Dimensions and metrics with session-level scope are aggregated over a user's entire session, which includes a series of interactions within a given timeframe.

3. Product-level scope: This scope is relevant when analyzing e-commerce data. It allows you to look at dimensions and metrics in the context of individual products, providing insights into product-specific performance.

4. User-level scope: Dimensions and metrics at the user level aggregate data over the entire lifespan of a user, providing a holistic view of their interactions.

Understanding these scope levels is crucial for accurate and meaningful data analysis. Choosing the appropriate scope level depends on the specific insights you aim to gain from the data and the context of your analysis.

In conclusion, the correct scope levels for dimensions and metrics are hit-level, session-level, product-level, and user-level, aligning with option 1. These scope levels enable a comprehensive analysis of user interactions and behaviors in various contexts.