Question

Why does NIST classifies uncertainties in Type A and Type B instead of random and systematic...

Why does NIST classifies uncertainties in Type A and Type B instead of random and systematic uncertainties?

Homework Answers

Answer #1

As, It should be noted that Type A and Type B uncertainties are not the same as“random” and “systematic” uncertainties. Random uncertainties vary for each measurement, yielding an observable “spread” in the data that will average to the conventional true value. Therefore, for a large number of measurements, theoretically there would be no uncertainty in the average value of the measured quantity. Systematic uncertainties are constant for each measurement, equal to the bias of the measurement technique, and are not observable in the data since the true value of the quantity being measured is unknown. Type A and Type B uncertainties involve analysis by the scientist.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Systematic sampling is a type of random sampling technique. t or f
Systematic sampling is a type of random sampling technique. t or f
Why does a research endeavor require structure, and why is the approach systematic?
Why does a research endeavor require structure, and why is the approach systematic?
Identify the type of sampling used​ (random, systematic,​ convenience, stratified, or cluster​ sampling) in the situation...
Identify the type of sampling used​ (random, systematic,​ convenience, stratified, or cluster​ sampling) in the situation described below. A researcher selects every 847 th social security number and surveys the corresponding person.
What is the type of sampling method used for the following. Is it Systematic, Stratified, Cluster...
What is the type of sampling method used for the following. Is it Systematic, Stratified, Cluster or None of these? Is it a random sample, yes, no , or not enough info? I randomly select 10 male and 10 female students to be in a survey on whether or not they like my statistics class. Does this qualify as a random sample? Yes No     not enough information
Identify the type of sampling​ used: random,​ systematic, convenience,​ stratified, or cluster. To estimate the percentage...
Identify the type of sampling​ used: random,​ systematic, convenience,​ stratified, or cluster. To estimate the percentage of defects in a recent manufacturing​ batch, a quality control manager at IBM selects every the 12th computer that comes off the assembly line starting with the until she obtains a sample of 90 computers
Question) Note - Please type your answer and use your own words instead of copying and...
Question) Note - Please type your answer and use your own words instead of copying and pasting from the internet. a) What are the possible errors /uncertainties that can occur in an Incline Friction Experiment? (as detailed as possible for this part)(at least 500 words) b)What is the Theory about the Incline Friction experiment? (as detailed as possible for this part)(At least 500 words)
java: can anyone explain. why does my code print out ##### and ***** instead of just...
java: can anyone explain. why does my code print out ##### and ***** instead of just #####? int a=1, b=2, c=3;    if(a<b) System.out.println("####"); else System.out.println("&&&&"); System.out.println("****");
why does the formula for forward or futures does not hold for some type of commodities
why does the formula for forward or futures does not hold for some type of commodities
Explain why a person with type A blood should not receive type B blood. Merely saying...
Explain why a person with type A blood should not receive type B blood. Merely saying that agglutination or clumping occurs is not enough. How does agglutination occur and what is the result of this to the patient?
1. Why do we say that we "fail to reject" the null instead of saying "accept"?...
1. Why do we say that we "fail to reject" the null instead of saying "accept"? 2. When selecting a significance level, why should we consider the consequences of a type 1 error? 3. Based on the QQ plot, does the variable age pass the normality assumption? 4. If we set our alpha at 0.05, that means a) we have a 5% chance of making a type 1 error b)we have a 5% chance of being correct c) 5% of...