Online Quiz about Design of Experiments Quiz Questions with Answers. There are 20 MCQs in this DOE Quiz covers the basics of the design of experiments, hypothesis testing, basic principles, and single-factor experiments. Let us start with “Design of Experiments MCQs with Answer”. Let us start with the Design of Experiments Quiz Questions with Answers now.
Online Design of Experiments Quiz Questions with Answers
Design of Experiments Quiz Questions with Answers
- Why is randomization an important aspect of conducting a designed experiment?
- Why would an agricultural field trial require a different experimental strategy than a typical industrial experiment?
- Sir Ronald A. Fisher is regarded as the modern pioneer of designed experiments because
- The analysis of variance treats the factor as if it were qualitative even if it is a continuous variable such as temperature.
- The Fisher LSD procedure used to compare pairs of treatment means following an ANOVA is extremely conservative.
- If a single-factor experiment has a continuous factor with $a$ levels and a polynomial of degree $a – 1$ is fit to the data the error sum of squares for the polynomial model will be identical to the error sum of squares that resulted from the standard ANOVA.
- In a single-factor random effects experiment we assume that the levels of the factor are selected at random from an infinitely large population of possible levels.
- When comparing more than two population means at the same time we should not use:
- In an independent samples t-test two samples:
- When population variance is unknown and sample sizes are small we can estimate the variance by
- To apply the t-test, two samples must be:
- The t-test is used when:
- Paired samples are:
- A paired samples t-test is also called:
- Paired samples t-test utilizes degree of freedom:
- In case of pairing, samples are usually taken from:
- Basic ANOVA measures ————— source/s of variation
- ANOVA is suitable to compare —————- means
- In ANOVA we use
- For the validity of different inferential tools we assume that errors have:
Statistics for Data Science and Business Analysts
very interesting test