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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
What is sampling error?
Sampling errors are errors in the data collected during the carrying out of quantitative data surveys. They can occur for various reasons, e.g. surveys that were incorrectly filled out. It is generally said that a survey needs to have a margin of error of under 3% to be statistically significant.
Differences between primary data and secondary data?
Primary data is data that is collected by the researcher. Secondary data is information that has been collected by someone other than the user.
How is data collected in statistics?
data can be collected many different ways, but a survey can be cunducted in a few different ways some of them are: simple random, stratified, block samples stratified simple random
Data collected from a random group has no value in predicting actual results?
False
What always affects measurement error in a experiment?
Factors such as instrument precision, human error, environmental conditions, and random variations in the system can all contribute to measurement error in an experiment. It is important to account for these factors and take measures to minimize their impact in order to ensure the accuracy and reliability of the data collected.
When describing the data that you have collected what aspects should researchers always included?
Possible error
What is the formula to calculate maximum random errors?
Maximum Random Error is often calculated by subtracting the average from the data point farthest from the average.
How are replication errors corrected in a database system?
Replication errors in a database system are corrected through techniques such as data validation, error detection mechanisms, and data reconciliation processes. These methods help identify discrepancies between replicated data sets and ensure that the database remains consistent and accurate.
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?
The data collected does not have to be measurable.?
The data collected does not have to be measurable.
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.
How can data be collected if independent samples are to be obtained?
Data can be collected for independent samples by randomly selecting individual units or cases from the population of interest. This can be done using random sampling techniques such as simple random sampling, stratified sampling, or cluster sampling. By ensuring that each sample is selected independently of the others, we can maintain the assumption of independence among the samples in the data analysis.
How can errors be corrected in experiments?
Errors in experiments can be corrected by identifying the source of the error, such as equipment malfunction or human error, and then implementing corrective actions. This can involve recalibrating equipment, double-checking procedures, or repeating the experiment to confirm results. It's important to document any errors and their corrections to ensure the reliability of the experimental data.
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.
