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."
Specific data is always going to be more reliable than general data. The reason for this, is because people can answer more accurately, without giving a broad answer to a question.
Fcuk you all kcuf
The more data you have, the more accurate your information. If you have a large amount of evidence of one result, it makes it look correct.
Quantitative data is collective data that can be measured by numbers and qualitative is data that is are words and cannot be divided by numbers.This is true. Here is a more precise answer:Quantitative data can be classified as continuous or numerical.Continuous data could for example: time, weight, age etc...Numerical would be zip codes of a given area, phone numbers in a telephone book etc...
Using charts to organise your data is more reliable as it enables you to put the data in the appropriate chart, this means you data will make more sense if needed to be explained and it also makes it easier to analyse your data.
quantitive is not a word. PS can you please recommend me?
Specific data is always going to be more reliable than general data. The reason for this, is because people can answer more accurately, without giving a broad answer to a question.
false
Fcuk you all kcuf
The more data you have, the more accurate your information. If you have a large amount of evidence of one result, it makes it look correct.
Increasing the sample size would make the data more reliable by reducing the impact of random variations and increasing the statistical power of the study. Additionally, ensuring that the data collection methods are standardized and reproducible would improve the reliability of the results.
Specific data gives you more information and is more reliable.
Quantitative data is collective data that can be measured by numbers and qualitative is data that is are words and cannot be divided by numbers.This is true. Here is a more precise answer:Quantitative data can be classified as continuous or numerical.Continuous data could for example: time, weight, age etc...Numerical would be zip codes of a given area, phone numbers in a telephone book etc...
Connection oriented is more reliable because there is an acknowledgment received from data receiver (destination) that the data is receiving and transfer is successful which is not received from connection less protocol.
Pubic lice is not a reportable disease, and so reliable data on prevalence is not available.
Peer reviewing involves other scientists testing the data that one scientist has produced and finding it either true or false. If more than the original scientist proves the hypothesis, then the answer is considered more reliable.
Using charts to organise your data is more reliable as it enables you to put the data in the appropriate chart, this means you data will make more sense if needed to be explained and it also makes it easier to analyse your data.