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What else can I help you with?
Which type of data is more reliable qualititive or quantitive?
I can't tell you which one is most reliable because data (or information) can be collected in so many different situations to answer different questions. If I am conducting a very scientific experiment, for example I want to know if a type of tomato grows better in an acid soil, then I need to collect and analyze quantitative data.But in many fields, both types of data are needed. Sociology and psychology studies use qualitative data. For example, I want to know if people who have lived in hot climates for long periods of time, are more comfortable with heat and humidity. So I ask people if they are feeling uncomfortable (qualitative data), how long they have lived in a hot climate (quantitative data) , and also recorded the heat and humidity (quantitative data).- See related link. From the third link, the author opines:"What qualitative methods (e.g. case studies and interviews) lose on reliability they gain in terms of validity. They provide a more in depth and rich description."
Why is there a need to analyze data?
There is no point in collecting data simply for the sake of collecting data. You need to analyse it: summarise it and use key information from it to make some assessments about the data.
What quantitative format could Riis have used to present the data in lines 86-109 in order to clarify his argument about the problems of the tenements?
Riis could have employed bar graphs or pie charts to visually represent the statistics related to tenement living conditions, such as the percentage of families living in overcrowded spaces or the incidence of disease in these areas. Additionally, a timeline could illustrate the correlation between overcrowding and health issues over time, making the data more accessible. These quantitative formats would enhance understanding and reinforce his argument about the urgent need for reform in tenement housing.
Is quantitative data always accurate?
Quantitative Data is only as good as the following: 1)The accuracy of the tools or machines used to measure whatever it is that is obtaining the data. For example, one of the reasons that the calipers to measure bolts for spacecrafts cost the huge amounts we all laugh about is not a laughing matter. The required precision is so high it is not the same as the precision that one might need for a school project! 2) Human error. Somebody is doing the measurements or adding reagents if it is an experiment, and so on. For example, someone came to my home to test the water. They had a type of device that could measure how much color was caused by a reagent added to water. Sounds good right? Not so right. The people did not know how to add water correctly to a test tube so that the correct amount of water mixed with the correct amount of reagent! 3) Computer error. Don't think it does not happen! Despite the drawbacks, overall quantitative data is generally BETTER than qualitative, but it is not perfect. Remeber Apollo 13!
What are the two ways to know when to shift?
To know when to shift, you can look for indicators such as changes in market conditions or performance metrics that suggest a strategy is no longer effective. Additionally, feedback from stakeholders or data analysis can reveal the need for a shift in approach. Regularly assessing both qualitative and quantitative information is essential for making informed decisions about when to adapt.
What subjects do you need to study to become a cartographer?
what education does a cartographer need? and what is cartographer's Subdivisions or specialists ?
Can you give me a sentence with cartographer in it?
If you need a map drawing ask a cartographer, not a cartoonist.
What does a cartographer need?
A cartographer is a professional mapmaker. There are several tools that a cartographer needs to perform the job such as digital cameras and scanners, lighting tables, lettering aids, T-squares and protractors.
What is quantilative data?
Quantilative is where quantitative and qualitative data start to blur. You can ask a question in a quantitative fashion (survey question) but if you have a small sample size, then you need to interpret the data qualitatively (e.g., few, some, most) as opposed to quantitatively (e.g., 10%). it can go the other way as well. If you have a qualitative exercise (e.g., highlighter exercise) that you deploy to a large sample size, you can interpret that data quantitatively (e.g., % who selected a certain area of the image).
How do you classify economy?
To classify you NEED to go to this website it can really help. GOOGLE.COM
What data might you need to collect?
The data you might need to collect depends on the specific goals of your project. Generally, you may require quantitative data, such as numerical measurements or survey responses, and qualitative data, such as interviews or open-ended feedback. Additionally, demographic information about your target population can help contextualize your findings. It’s important to ensure that the data collected aligns with your research questions and objectives.
What data would you need to enter?
To provide a specific answer, I would need to know the context or purpose of the data entry. Generally, key data might include identifiers (like names or IDs), quantitative measurements (such as dates or amounts), qualitative information (descriptions or categories), and any relevant timestamps. Understanding the desired outcome or process would further refine the necessary data points.
How do you make a quantitative transver?
To make a quantitative transfer, you first need to identify the specific metrics or data points you wish to transfer. Next, ensure that the data is collected and measured consistently across both systems or contexts to maintain accuracy. Finally, use appropriate statistical methods or software tools to analyze and interpret the data, ensuring that the transfer aligns with your objectives. Always validate the results to confirm that the transfer has been executed correctly.
Why do you need a classify elements?
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What do scientists call information collected from observations?
Scientists call information collected from observations data. Data can be qualitative (descriptive) or quantitative (numerical), and it is analyzed and used to draw conclusions or make predictions in scientific research.
How would we capture record classify summarize and report data in a manual AIS?
To capture data in a manual AIS, you would need to physically input transaction information into journals or ledgers. Records would need to be organized based on predefined categories to classify them properly. Summarizing involves creating trial balances or financial statements by manually calculating totals and balances. Reporting data would require creating customized reports using the summarized information to provide insights for decision-making.
Why do you need to classify animals plants and other things?
Because there are sometimes multiple meanings for words such as mole (face, animal) and you need to know which is which so they classify it.
