Which of the following is most likely to produce data that are not precise?

Which of the following is most likely to produce data that are not precise?

which of the following is most likely to produce data that are not precise? visual, verbal, and/or mathematical explanation of how things occur.

What is an example of measurement that is accurate but not precise?

For example, if on average, your measurements for a given substance are close to the known value, but the measurements are far from each other, then you have accuracy without precision. A good analogy for understanding accuracy and precision is to imagine a basketball player shooting baskets.

What is not accurate and not precise?

Accuracy refers to how close a measurement is to the true or accepted value. Precision refers to how close measurements of the same item are to each other. If all of the darts land very close together, but far from the bulls-eye, there is precision, but not accuracy (SF Fig. 1.5 B).

What makes a data precise?

In simpler terms, given a set of data points from repeated measurements of the same quantity, the set can be said to be accurate if their average is close to the true value of the quantity being measured, while the set can be said to be precise if the values are close to each other.

Which value has only 4 sig figs?

4.000
The first zero is known with certainty and the final zero while not known with certainty is still significant. Thus, 4.000 has 4 significant figures. RULE #4 – A zero used to fix a decimal point is never significant. The quantities 0.456, 0.0456 and 0.00456 all contain 3 significant figures.

Which of Mac’s trials is the most accurate?

Trial 3 is the most accurate value.

How can something be accurate but not true?

Truth is most often used to mean in accord with fact or reality. Accuracy is the quality of being true, but includes the element of being correct, precise or exact. So, one can be truthful, but the power of words and semantics can be used very cleverly to intimate, insinuate, and imply things that may not be accurate.

Can a measuring instrument be precise but inaccurate Can it be accurate without being precise?

Yes, an instrument can be precise without being accurate but the measurements cannot be accurate without being precise.

What are the differences between precision and accuracy?

Accuracy is the degree of closeness to true value. Precision is the degree to which an instrument or process will repeat the same value. In other words, accuracy is the degree of veracity while precision is the degree of reproducibility.

Is zero error systematic or random?

Random errors show up as different results for ostensibly the same repeated measurement. They can be estimated by comparing multiple measurements and reduced by averaging multiple measurements. Incorrect zeroing of an instrument leading to a zero error is an example of systematic error in instrumentation.

What is the most precise method of measuring data?

ratio level
As the highest of the four levels of measurement (i.e., nominal, ordinal, interval, and ratio), ratio level of measurement is the most precise and therefore, desirable to use in social scientific research.

Which of the following must be true about a precise measurement?

Which of the following must be true about a precise measurement? It typically contains many significant figures. A precise measurement has a high degree of certainty, as indicated by having many significant figures. Explain when trailing zeros should be considered significant.

Is it true that all data suffers from inaccuracy?

Certainly, there was an awareness that all data suffers from inaccuracy and imprecision, but the effects on GIS problems and solutions was not considered in great detail.

Why is secondary data not used in exploratory research?

B) Secondary data takes longer to obtain than primary data. C) Secondary data is inappropriate for use in exploratory research. D) Secondary data may not be accurate because of errors in gathering or analyzing the data for the original study.

Which is an example of precise attribute information?

Precise attribute information describes phenomena in great detail. For example, a precise description of a person living at a particular address might include gender, age, income, occupation, level of education, and many other characteristics. An imprecise description might include just income, or just gender.

Which is the most common value in a data set?

The mean is essentially a model of your data set. It is the value that is most common. You will notice, however, that the mean is not often one of the actual values that you have observed in your data set. However, one of its important properties is that it minimises error in the prediction of any one value in your data set.