B.sc Agriculture 1st Semester Statistical Important Questions 2023

In this post, b.sc agriculture 1st semester statistical important questions have been given for session 2023. 

You can prepare answers to these questions with the help of the book issued by your university. 

To prepare this set of questions, the help of a b.sc agriculture old paper has been taken. 

Many times it is seen that the questions in the exam paper are taken from the question paper asked in previous years. 

That's why take these questions seriously. 

This set of b.sc 1st semester agriculture statistics important questions will be helpful in your knowledge enhancement and you will be able to understand the pattern of the exam paper very well. 

First of all, write these questions in your statistical notebook. 

Read the chapter related to these questions carefully 2 to 3 times in your textbook. 

Now try to answer these questions in your own words. 

You should try that you can write all the answers to the agricultural statistics question paper. 

Answers prepared in this way will save you time in revision at the time of examination. 

Also, you will remember the answers to these questions for a long time. 

Many of these questions have also been taken from b sc agriculture statistics 1st semester exam question paper tnau. 

Therefore, this practice set will be very beneficial for the students of this university as well. 

Apart from these questions, you should also try to search the question of this topic. 

So that you can solve maximum b.sc first semester agriculture statistics important questions. 

You will find more such practice sets on the internet for free. 

You can use them too.

Ag First Sem Statistics

B.sc Ag Statistics 1st Semester Exam Question Pattern For 2023

• If the average of 7, 9, 12, x, 5,4, and 11 is 9 then what will the value of x be.
• What do you mean by dispersion? What are the different measures of dispersion?
• What you can be called if 'The probability of rejecting the null hypothesis when it is true'.
• Find the mean and coefficient of variation from the following data- 50, 48, 58, 63, 70, 38, 40, 42, 35, 37.
• What do you mean by measures of central tendency? Explain various measures of central tendency.
• Write down the regression equation which could be used to predict the value of Y for any given value of X. Write down the formula for each term used in the equation.
• What is the median? Write the merits and demerits?
• What is the probability that a leap year, selected at random, will contain 53 Sundays?
• Explain the following with suitable examples - (a) Primary and Secondary data (b) Discrete and Continuous data (c) Statistics and Parameters.
• Write short notes on a normal distribution.
• Discuss the following with the help of suitable examples- (a) Random experiment (b) Independent events.
• What is meant by a Scatter diagram? Give its use.
• Define the following concepts - (a) Null hypothesis & alternative hypothesis (b) Critical region (c) Mutually exclusive events (d) Type-I error and Type-II error (e) Level of significance.
• Give the classical and statistical definitions of probability. Two unbiased dice are thrown. lind the probability that- (a) The sum of the numbers on the dice is 9 (b) Both the dice show the same numbers (c) The first dice shows 4 (d) The sum of the numbers greater than 10.
• What is meant by a completely randomized design?
• The mean breaking strength of cables supplied by a manufacturer is JRO() with a standard deviation of 100. With a new technique in the manufacturing process, it is claimed that the breaking strength of the cables has increased. In order to test this claim, a sample of 50 cables is tested. U It is found that the mean breaking strength is J850. Can we support the claim at the J% level of significance? (Given Zo.o1 = 2.33).
• Write a short note on completely randomized design (CRD).
• Define the term 'Statistics' and discuss its uses. Also, point out its limitations.
• Write a short note on Latin Square Design (LSD).
• Discuss the following with the help of suitable examples - (a) Random experiment (b) Exhaustive and Favourable events (c) Mutually exclusive and independent events.
• Write a short note on Latin Square Design (LSD).
• A sample of 900 members is found to have a mean of 3Acm. Can it be reasonably regarded as a simple sample from a large population with a mean of 3.2cm and a standard deviation of 2.3cm?
• What is a frequency polygon?
• In a sample of 1000 persons in Delhi, 540 are rice eaters and the rest are wheat eaters. Test 1% level of significance if wheat and rice are equally popular in the state.
• Define normal distribution and state its properties.
• Give empirical (statistical) definitions of probability. There are 10 red, 4 blue, and 6 black balls in a bag, a ball is drawn at random from the bag. What is the probability of drawing- (a) a red ball? (b) a blue ball? (c) not a black ball?
• Write down normal distribution and its properties. Also, write the steps involved in the testing of the hypothesis.
• What do you mean by correlation? Explain various types of correlation with examples.
• Define the following concepts - (a) Null hypothesis and alternative hypothesis (b) Type I error and Type II error (c) Critical region and (d) Level of significance
• The procedure of testing the hypothesis requires adopting several steps. Describe in brief all such steps.
• Give the classical and statistical definitions of probability. Two unbiased dice are thrown. Find the probability that- (a) The sum of the numbers on the dice is 9 (b) Both the dice show the same numbers (c) The first dice shows 4 (d) The sum of the numbers greater than 10.
• Describe the testing procedure for testing the differences between two means for large samples. (b) The Means of two large samples of 1000 and 2000 members are 67.5 inches and 68.0 inches respectively. Can the samples be regarded as drawn from the same population with a standard deviation of 2.5 inches? Test at a 5% level of significance. [Given ZO.0025 = 1.96].
• Define terms used in the experiment of design. What are the basic principles of the design of experiments?
• What do you understand by experimental design? Explain the principles of replication, randomization, and local control in experimental design and discuss how these principles are used in randomized block design?
• What is Randomized Block Design (RBD)? Explain the complete analysis of the variance of RBD with an unequal number of observations.
• Five cards are drawn at random from a pack of 52 cards. Find the probability that- (a) They are king, a queen, a jack and an ace (b) All are diamonds.

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