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What is measurable data?
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
Is data measurement?
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
What is the difference between quantative and qualative data?
Quantitative data deals with numbers and data that are measurable. Qualitative data, meanwhile, deals with descriptions and data that are observable but not measurable.
What is the major distinction between quantitative and qualitative data?
Quantitative data describes the measurable attributes of the subject. Qualitative data describes the remaining non-measurable but perceivable attributes of the subject
What is continuous grouped data?
In continuous grouped data the data is collected continuously and in groups. Data collected is in class intervals the actual data values are not visible.
What is measurable data?
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
Is data measurement?
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
What is the difference between quantative and qualative data?
Quantitative data deals with numbers and data that are measurable. Qualitative data, meanwhile, deals with descriptions and data that are observable but not measurable.
What are the data to be collected?
✅ Legitimate Data Collection Methods: Opt-in Forms & Landing Pages: Users voluntarily fill out a form in exchange for a resource (e.g., eBook, free trial, webinar). This is permission-based and highly reliable. Surveys & Polls: Leads are gathered through online surveys where users share their contact info and preferences. Data may include industry, job title, budget, etc. Partnerships & Co-Registration: Data is collected through affiliate or media partners during content downloads or registrations. These must be transparently disclosed to the user. Publicly Available Sources: Some providers use public directories (e.g., company websites, LinkedIn, Yellow Pages) and aggregate that information. This is common for B2B leads. Event & Webinar Signups: Leads are gathered during industry events, trade shows, or webinars. These can be highly targeted if the topic aligns with your business. Third-Party Data Vendors: Reputable vendors gather and verify data from multiple compliant sources. Always ask if the data is GDPR/CCPA compliant and when it was last updated. ⚠️ Red Flags to Avoid: Scraped data without consent from LinkedIn, Facebook, or websites — this is often illegal and low-quality. Old or outdated lists that haven’t been verified or updated recently. No disclosure of opt-in method—if they can’t explain how the lead was captured, be cautious. ✅ Key Questions to Ask the Vendor: Was this data collected via opt-in or cold scraping? When was the last time this data was updated or verified? Are users aware their data is being resold or shared?
Are data that was collected for another purpose and was already collected?
Data that is collected may have been collected previously for some reason, or it might have been collected recently. Data is usually collected to show statistics or information about something specific.
What is the major distinction between quantitative and qualitative data?
Quantitative data describes the measurable attributes of the subject. Qualitative data describes the remaining non-measurable but perceivable attributes of the subject
What will you do with your data when it is collected?
The collected data is organized in a fashion so you can determine if the hypothesis is supported.
What is continuous grouped data?
In continuous grouped data the data is collected continuously and in groups. Data collected is in class intervals the actual data values are not visible.
If data is collected that is way different than other data collected what is it called?
You may be thinking of 'anomaly'.
How is data collected and used for the purpose of national statistics?
how is data collected and used for the purpose of national statistics
Calculations or comparisons made using the collected data?
Calculations or comparisons made using the collected data
What is the differnce between primary and secondary data?
📌 Primary Data Definition: Data collected directly from the source for a specific research purpose. Examples: Surveys or questionnaires Interviews (face-to-face, phone, online) Observations or experiments Focus groups Field research Key Features: Collected firsthand Original and specific to your goals Usually more accurate and current Time-consuming and costly to gather 📌 Secondary Data Definition: Data that has already been collected by someone else for a different purpose, but is reused for your research. Examples: Government reports (e.g., census data) Academic journals or research papers Business databases and market research reports News articles or publications Company annual reports or case studies Key Features: Pre-existing data Faster and cheaper to access May not be tailored to your specific needs Might be outdated or biased
