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In statistics what is raw data?
Raw data would be the basic numbers and details collected from research without any manipulations. I.E. It is the "input" for any statistical calculations. However, with justification, certain anomalies can be removed from a data set before performing calculations, or subjects might be excluded if they do not meet certain predefined criteria.
How does primary information differ from secondary information?
primary information is the information/data that you collected and secondary information is the data/information that is collected by someone else but you are using it.
The data collected does not have to be measurable.?
The data collected does not have to be measurable.
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.
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 can your data be for mag-nificent breakfast cereal?
Data can be collected for nutritional info, weight, differences within the cereal, price, comparisons to other cereals or brands, etc.
In statistics what is raw data?
Raw data would be the basic numbers and details collected from research without any manipulations. I.E. It is the "input" for any statistical calculations. However, with justification, certain anomalies can be removed from a data set before performing calculations, or subjects might be excluded if they do not meet certain predefined criteria.
How does primary information differ from secondary information?
primary information is the information/data that you collected and secondary information is the data/information that is collected by someone else but you are using it.
What is the difference of finding average from raw data and from frequency distribution?
Finding the average from the raw data requires a lot more calculations. By using frequency distributions you reduce the number of calculations.
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?
What is a data capture form?
Before setting up a database the data must be collected. This can be done using a data capture form.
What is precise information provided by numerical data?
Numerical data provides specific and quantifiable information, such as exact measurements, counts, or values. This data is valuable for making accurate calculations, comparisons, and predictions in various fields such as science, finance, and research.
The data collected does not have to be measurable.?
The data collected does not have to be measurable.
What is it that specifies the kind of data a field can contain and how the field is used?
The data type of a field specifies the kind of data it can contain, such as text, numbers, dates, etc. It determines how the field is stored and how operations can be performed on it, like arithmetic calculations and comparisons. The field is used by storing and retrieving data according to its specified data type.
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 secondary use?
Secondary use is using data for a purpose other than the purpose it was collected for.
