B.sc Agriculture 3rd Semester Statistical Most Imp Questions 2024

In this post b.sc agriculture 3rd semester statistical methods most important questions are being given for 2024. 

You can prepare statistical notes for yourself by preparing answers to these questions. 

Many of these questions have been asked in the past and have been included here because they are being asked frequently in the exam. 

Therefore take this question set seriously. 

This paper on statistical methods in agriculture important questions for BSC 3rd sem will make you aware of the format of the question paper. 

It is not necessary that these questions be asked again in the same format. 

These can also be twisted and kept in front of you. 

Therefore, efforts should be made to ensure that your concept is clear in this subject. 

First of all, you have to write these questions of B.Sc Agriculture 3rd semester statistical methods question paper in your notebook. 

After that, read the chapter related to the question until the concept is clear. 

Now you have to prepare answers in your own words. 

You won't have to put in much effort to remember the answer written using your own words. 

If you have difficulty in solving these questions and do not understand the question, then contact the professor of this subject and solve the dilemma. 

You will find many more sets of this type on the internet. 

Using this you can practice solving these types of questions. 

For this, you have to write b.sc 3rd semester agricultural statistical methods questions in PDF in the search box. 

Let us solve these questions.

Statistical Methods Questions For Agriculture Students

Statistical Methods Important Questions For BSc Third Semester

  • Write the name of the continuous series.
  • State the probability mass function of Binomial and Poisson's distribution. State the properties of Normal probability distribution.
  • What will be the value of X, if mean (X+4) and (X+6) is 10?.
  • Explain complete analysis of variance (ANOVA) of one-way classification.
  • Define positive and partial correlation.
  • What are the characteristics of ideal measures of central tendency? State the merits and demerits of Arithmetic Mean.
  • What do you mean by Mean Deviation?.
  • What is correlation? List out types of correlations. Discuss the method of studying correlation by using a scatter diagram'.
  • Define Regression Line.
  • What is meant by 'measures of dispersion'?. Write a formula (with the specification of terms used) for the standard deviation of individual series and continuous frequency distribution.
  • What are Independent Events?
  • Define Hypothesis. State five different steps followed in testing a hypothesis. Explain the method of testing the mean of a single population (t-test for a single sample).
  • Define analysis of Variance.
  • Write short notes on the following- (a) Method of finding/selecting a best-fit line (b) Two types of errors in testing hypothesis (c) Classification and its types.
  • Define the coefficient of variation.
  • What is Random experiment, Simple event, compound events, and Mutually exclusive events?.
  • Define mutually exclusive events.
  • Give two definitions of 'Statistics'. Enlist and explain the limitations of 'Statistics'.
  • Define Binomial Distribution.
  • Differentiate between correlation and regression. Write the relationship between correlation coefficient and regression coefficients.
  • What do you understand by 'Measures of Central Tendency'?. Write its classification.
  • What will be the Geometric Mean for the series 10,1,2,0,7?.
  • Write the importance of statistics in agriculture. 
  • Explain the following- (a) Arithmetic Mean (b) Geometric Mean (c) Median (d) Mode.
  • Define Normal Distribution and write its importance. 
  • Which measure of central tendency can be determined by Histogram.
  • Differentiate between sampling and complete enumeration. Also, write down merits and demerits. 
  • Define correlation coefficient. Also, discuss the properties.
  • What is meant by 'Statistics'?.
  • The mean and coefficient of variation of a distribution are 10 and 5 respectively, what will be the standard deviation and variance of the distribution?.
  • What is the method of sampling?.
  • Define different types of measures of central tendency. Also, write down its merits and demerits.
  • What is the level of Significance?.
  • Tow dice are thrown simultaneously. Find the probability that the sum of the two numbers on the dice is 7 or 10.
  • There are 60 students in a class of which 23 are boys and the rest are girls. Find the probability that a student selected is a girl.
  • Define normal distribution. Also, write down the properties of the normal curve.
  • Define Regression line, Regression Equation, and Regression Coefficient. Write the properties of the Regression Coefficient.
  • Discuss in detail the different types of measures of dispersion.
  • Write the two main differences between 't' and the Z-test. How do you test the significance difference between the sample mean and population means by 't-test? Explain.
  • A sample of ten men's height is 52, 55, 57, 61, 64, 65, 67, 68, 70, and 71 inches. In the height of the above data, it may be assumed that the average height of men is 60 inches. 

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