## MCQ on Statistical Design: LSD, Chi Square, Split plot, Student’s t-test

Read MCQ on experimental designs.

Type | Multiple Choice Objective Questions |

Major Subject | Agricultural Statistics |

Topics | Latin Square Design, Split Plot Design, Student’s t-test, Chi Square Test, Strip Plot Design |

No. of questions | 25 |

**Also read**: Agricultural Statistics Multiple Choice Objective Questions

### MCQ on Statistics: LSD

Question 01. Full form of LSD

(a). Latin Square Design

(b). List Square Design

(c). Linear Statistical Design

(d). Latin Statistical Design

Question 02. What type of design is LSD?

(a). Only row

(b). Only column

(c). Row and column

(d). Blocks, row and column

Question 03. How many blocking factors are there in an LSD?

(a). 3 factors

(b). 4 factors

(c). 2 factors

(d). 5 factors

Question 04. Which of the following is treatment in an LSD?

(a). Rows

(b). Columns

(c). Both a and b

(d). None of the above

Question 05. Who introduced Latin Square Design?

(a). David Blackwell, 1935

(b). Johann Ernst Fabri, 1825

(c). Lawrence D. Brown, 1965

(d). Fisher, Ronald Aylmer, 1925

### Experimental Design MCQ: SPD

**Also read: **MCQ On Experimental Designs

Question 06. What is full fom of SPD?

(a). Split Plot Design

(b). Sequel Plot Design

(c). Spots Plot Design

(d). None of the above

Question 07. Which is true about SPD?

1. It is used when some factors are more

expensive to vary than others.

2. A split plot design consists of two experiments with different experimental units of different size

(a). Only 1 is true

(b). Only 2 is true

(c). Both 1 and 2 are true

(d). None of the above

Question 08. Consider the following factorial problem:

3 different irrigation levels

4 different corn varieties

Response: biomass

Available resources: 6 plots of land

Which is true?

1. By definition we can not vary the irrigation level on a too small scale

2. We are forced to use large experimental units for the irrigation level factor

3. We can’t assume to use a specific irrigation level on each

of the 6 plots

(a). Only 1 and 2 are true

(b). Only 2 and 3 are true

(c). All are true

(d). None of the above

Question 09. Consider the factorial problems of question 8, we can call irrigation level..

(a). The whole-plot factor

(b). Corn variety the split-plot factor

(c). Both a and b

(d). None of the above

Question 10. Consider the factorial problems of question 8, we can call irrigation level..

1. Each experiment has its own randomization

2. Each experiment has its own idea of experimental unit

(a). Only 1 is true

(b). Only 2 is true

(c). Both a and b

(d). None of the above

**Also read**: MCQ on Statistical Designs: RBD, CRD, ANOVA

### Quiz on Strip and split plot design

Question 11. Which is true?

1. Split-plot designs result when a particular type of restricted randomization has occurred during the experiment.

2. A simple factorial experiment can result in a split-plot type of design

(a). Only 1 is true

(b). Only 2 is true

(c). Both a and b are true

(d). None of the above

Question 12. How many sizes have a traditional strip-plot design?

(a). 2 sizes

(b). 4 sizes

(c). 3 sizes

(d). None of the above

Question 13. What is the main difference between split-block and split-plot experiments? is the

(a). Application of a second factor

(b). Application of the first factor

(c). Both a and b

(d). None of the above

Question 14. Identify the type of experimental design.

Fertilizer A Irrigation 1 | Fertilizer B Irrigation 2 | Fertilizer B Irrigation 2 | Fertilizer A Irrigation 1 |

Fertilizer B | Fertilizer A | Fertilizer A | Fertilizer B |

Field 1 | Field 2 | Field 3 | Field 4 |

(a). Spilt plot design

(b). Strip plot design

(c). Latin square design

(d). None of the above

### Student’s t-test

Question 15. What is student’s t-test?

(a). Student’s t-test, in statistics, a method of testing hypotheses about the mode of a small sample

(b). Student’s t-test, in statistics, a method of testing hypotheses about the median of a small sample

(c). Both a and b

(d). Student’s t-test, in statistics, is a method of testing hypotheses about the mean of a small sample

Question 16. Who developed student’s t-test?

(a). George Alfred Barnard

(b). William Sealy Gosset

(c). Florence Nightingale David

(d). Patrick Michael Grundy

Question 17. In statistics, a student’s t-test is a method of testing the theory about the mean of a small sample from a normally distributed population where the standard deviation of the given population is

(a). Known

(b). Unknown

(c). Either a or b

(d). None of the above

### Stata Quiz

Question 18. Here are two species of iris flower growing in a garden and they measure 25 petals of each species. You can test the difference between these two groups with the help of the Student t-test.

In this example,

1. The null hypothesis is one that tells the true difference between these groups.

2. The alternate hypothesis is one that tells the true difference is different from zero.

(a). Only 1 is true

(b). Only 2 is true

(c). Both 1 and 2 are true

(d). None of the above

Question 19. When is the normal distribution applied in student’s t-test?

In common, , then the normal distribution is applied.

(a). For tests involving the mean of a sample of size smaller than 30

(b). For tests involving the mean of a sample of size greater than 100

(c). For tests involving the mean of a sample of size greater than 150

(d). For tests involving the mean of a sample of size greater than 30

Question 20. Which is true about student’s t-test?

1. If the groups are coming from a single population (e.g. measuring after and before an experimental treatment), perform a paired t-test.

2. If the groups are coming from two different populations (e.g. people from two separate crop fields), perform a one-sample t-test.

3. If there is a group being compared against any standard value (e.g. comparing the acidity of any liquid to a neutral pH of 7), perform a one-sample t-test.

(a). Only 1 is true

(b). Only 2 and 3 are true

(c). All are true

(d). Only 1 and 3 are true

### Chi Squared Test

Question 21. When is chi-squared test applicable?

(a). Large

(b). Small

(c). Medium

(d). All of the above

Question 22. Which is an example of chi square test?

(a). Fisher’s exact test

(b). Binomial test

(c). Both a and b

(d). None of the above

Question 23. Who introduced chi suare test?

(a). David Blackwell, 1935

(b). Johann Ernst Fabri, 1825

(c). Lawrence D. Brown, 1965

(d). Karl Pearson

Question 24. Consider about P value in a chi square test

1. P≤ 0.05: Hypothes is rejected

2. P>.05: Hypothes is accepted

3. P≤ 0.05: Hypothes is accected

4. P>.05: Hypothes is rejected

(a). Only 1 and 2 are true

(b). Only 2 and 3 are true

(c). Only 3 and 4 are true

(d). None of the above

Question 25. Which of the following is not a property of the chi square test?

(a). Two times the number of degrees of freedom is equal to the variance

(b). The number of degree of freedom is equal to the mean distribution

(c). The chi-square distribution curve approaches the normal distribution when the degree of freedom increases.

(d). The number of degree of freedom is equal to the median distribution