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Tamil Nadu Board of Secondary EducationHSC Commerce Class 12

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board chapter 8 - Sampling techniques and Statistical Inference [Latest edition]

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Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board chapter 8 - Sampling techniques and Statistical Inference - Shaalaa.com
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Solutions for Chapter 8: Sampling techniques and Statistical Inference

Below listed, you can find solutions for Chapter 8 of Tamil Nadu Board of Secondary Education Samacheer Kalvi for Business Mathematics and Statistics [English] Class 12 TN Board.


Exercise 8.1Exercise 8.2Exercise 8.3Miscellaneous problems
Exercise 8.1 [Pages 185 - 186]

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 8 Sampling techniques and Statistical Inference Exercise 8.1 [Pages 185 - 186]

Exercise 8.1 | Q 1 | Page 185

What is population?

Exercise 8.1 | Q 2 | Page 185

What is sample?

Exercise 8.1 | Q 3 | Page 185

What is statistic?

Exercise 8.1 | Q 4 | Page 185

Define parameter

Exercise 8.1 | Q 5 | Page 185

What is sampling distribution of a statistic?

Exercise 8.1 | Q 6 | Page 185

What is standard error?

Exercise 8.1 | Q 7 | Page 185

Explain in detail about simple random sampling with a suitable example

Exercise 8.1 | Q 8 | Page 185

Explain the stratifi ed random sampling with a suitable example

Exercise 8.1 | Q 9 | Page 185

Explain in detail about systematic random sampling with example

Exercise 8.1 | Q 10 | Page 185

Explain in detail about sampling error

Exercise 8.1 | Q 11 | Page 185

Explain in detail about non-sampling error

Exercise 8.1 | Q 12 | Page 185

State any two merits of simple random sampling

Exercise 8.1 | Q 13 | Page 185

State any three merits of stratified random sampling

Exercise 8.1 | Q 14 | Page 185

State any two demerits of systematic random sampling

Exercise 8.1 | Q 15 | Page 185

State any two merits for systematic random sampling

Exercise 8.1 | Q 16 | Page 185

Using the following Tippet’s random number table

2952 6641 3992 9792 7969 5911 3170 5624
4167 9524 1545 1396 7203 5356 1300 2693
2670 7483 3408 2762 3563 1089 6913 7991
0560 5246 1112 6107 6008 8125 4233 8776
2754 9143 1405 9025 7002 6111 8816 6446

Draw a sample of 10 three-digit numbers which are even numbers

Exercise 8.1 | Q 17 | Page 185

 A wholesaler in apples claims that only 4% of the apples supplied by him are defective. A random sample of 600 apples contained 36 defective apples. Calculate the standard error concerning of good apples

Exercise 8.1 | Q 18 | Page 185

A sample of 1000 students whose mean weight is 119 lbs (pounds) from a school in Tamil Nadu State was taken and their average weight was found to be 120 lbs with a standard deviation of 30 lbs. Calculate the standard error of the mean

Exercise 8.1 | Q 19 | Page 186

A random sample of 60 observations was drawn from a large population and its standard deviation was found to be 2.5. Calculate the suitable standard error that this sample is taken from a population with standard deviation 3?

Exercise 8.1 | Q 20 | Page 186

In a sample of 400 population from a village 230 are found to be eaters of vegetarian items and the rest non-vegetarian items. Compute the standard error assuming that both vegetarian and non-vegetarian foods are equally popular in that village?

Exercise 8.2 [Page 195]

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 8 Sampling techniques and Statistical Inference Exercise 8.2 [Page 195]

Exercise 8.2 | Q 1 | Page 195

Mention two branches of statistical inference

Exercise 8.2 | Q 2 | Page 195

What is an estimator?

Exercise 8.2 | Q 3 | Page 195

What is an estimate?

Exercise 8.2 | Q 4 | Page 195

What is point estimation?

Exercise 8.2 | Q 5 | Page 195

What is interval estimation?

Exercise 8.2 | Q 6 | Page 195

What is confidence interval?

Exercise 8.2 | Q 7 | Page 195

What is null hypothesis? Give an example

Exercise 8.2 | Q 8 | Page 195

Define alternative hypothesis

Exercise 8.2 | Q 9 | Page 195

Define critical region

Exercise 8.2 | Q 10 | Page 195

Define critical value

Exercise 8.2 | Q 11 | Page 195

Define the level of significance

Exercise 8.2 | Q 12 | Page 195

What is a type I error?

Exercise 8.2 | Q 13 | Page 195

What is single tailed test

Exercise 8.2 | Q 14 | Page 195

A sample of 100 items, draw from a universe with mean value 4 and S.D 3, has a mean value 63.5. Is the difference in the mean significant at 0.05 level of significance?

Exercise 8.2 | Q 15 | Page 195

A sample of 400 individuals is found to have a mean height of 67.47 inches. Can it be reasonably regarded as a sample from a large population with a mean height of 67.39 inches and standard deviation of 1.30 inches?

Exercise 8.2 | Q 16 | Page 195

The average score on a nationally administered aptitude test was 76 and the corresponding standard deviation was 8. In order to evaluate a state’s education system, the scores of 100 of the state’s students were randomly selected. These students had an average score of 72. Test at a significance level of 0.05 if there is a significant difference between the state scores and the national scores

Exercise 8.2 | Q 17 | Page 195

The mean breaking strength of cables supplied by a manufacturer is 1,800 with a standard deviation of 100. By 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. It is found that the mean breaking strength is 1,850. Can you support the claim at 0.01 level of significance?

Exercise 8.3 [Pages 195 - 196]

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 8 Sampling techniques and Statistical Inference Exercise 8.3 [Pages 195 - 196]

MCQ

Exercise 8.3 | Q 1 | Page 195

Choose the correct alternative:

A ______ may be finite or infinite according as the number of observations or items in it is finite or infinite

  • population

  • census

  • parameter

  • none of these

Exercise 8.3 | Q 2 | Page 195

Choose the correct alternative:

A ______ of statistical individuals in a population is called a sample

  • infinite set

  • finite subset

  • finite set

  • entire set

Exercise 8.3 | Q 3 | Page 195

Choose the correct alternative:

A finite subset of statistical individuals in a population is called ______

  • a sample

  • a population

  • universe

  • census

Exercise 8.3 | Q 4 | Page 195

Choose the correct alternative:

Any statistical measure computed from sample data is known as ______

  • parameter

  • random sample

  • infinite measure

  • uncountable measure

Exercise 8.3 | Q 5 | Page 195

Choose the correct alternative:

A ______ is one where each item in the universe has an equal chance of known opportunity of being selected

  • Parameter

  • Random sample

  • Statistic

  • Entire data

Exercise 8.3 | Q 6 | Page 195

Choose the correct alternative:

A random sample is a sample selected in such a way that every item in the population has an equal chance of being included

  • Harper

  • Fisher

  • Karl Pearson

  • Dr. Yates

Exercise 8.3 | Q 7 | Page 196

Choose the correct alternative:

Which one of the following is probability sampling

  • purposive sampling

  • judgment sampling

  • simple random sampling

  • convenience sampling

Exercise 8.3 | Q 8 | Page 196

Choose the correct alternative:

In simple random sampling from a population of units, the probability of drawing any unit at the first draw is

  • `"n"/"N"`

  • `1/"N"`

  • `"N"/"n"`

  • 1

Exercise 8.3 | Q 9 | Page 196

Choose the correct alternative:

In ______ the heterogeneous groups are divided into homogeneous groups

  • Non-probability sample

  • a simple random sample

  • a stratified random sample

  • Systematic random sample

Exercise 8.3 | Q 10 | Page 196

Choose the correct alternative:

Errors in sampling are of

  • Two types

  • three type

  • four types

  • five types

Exercise 8.3 | Q 11 | Page 196

Choose the correct alternative:

The method of obtaining the most likely value of the population parameter using statistic is called ______

  • estimation

  • estimator

  • estimator

  • standard error

Exercise 8.3 | Q 12 | Page 196

Choose the correct alternative:

An estimator is a sample statistic used to estimate a

  • population parameter

  • biased estimate

  • sample size

  • census

Exercise 8.3 | Q 13 | Page 196

Choose the correct alternative:

______  is a relative property, which states that one estimator is efficient relative to another

  • Efficiency

  • Sufficiency

  • Unbiased

  • Consistency

Exercise 8.3 | Q 14 | Page 196

Choose the correct alternative:

If probability `"P"[|vectheta - theta| < ε] -> 1` as `"n" -> oo` for any positive ε then `vectheta` is said to ______ estimator of `theta`

  • efficient

  • sufficient

  • unbiased

  • consistent

Exercise 8.3 | Q 15 | Page 196

Choose the correct alternative:

An estimator is said to be ______ if it contains all the information in the data about the parameter it estimates

  • efficient

  • sufficient

  • unbiased

  • consistent

Exercise 8.3 | Q 16 | Page 196

Choose the correct alternative:

An estimate of a population parameter given by two numbers between which the parameter would be expected to lie is called an ______ interval estimate of the parameter

  • point estimate

  • interval estimate

  • standard error

  • confidence

Exercise 8.3 | Q 17 | Page 196

Choose the correct alternative:

A ______ is a statement or an assertion about the population parameter

  • hypothesis

  • statistic

  • sample

  • census

Exercise 8.3 | Q 18 | Page 196

Choose the correct alternative:

Type I error is

  • Accept H0 when it is true

  • Accept H0 when it is false

  • Reject H0 when it is true

  • Reject H0 when it is false

Exercise 8.3 | Q 19 | Page 196

Choose the correct alternative:

Type II error is

  • Accept H0 when it is wrong

  • Accept H0 when it is true

  •  Reject H0 when it is true

  • Reject H0 when it is false

Exercise 8.3 | Q 20 | Page 196

Choose the correct alternative:

The standard error of sample mean is

  • `sigma/sqrt(2"n")`

  • `sigma/"n"`

  • `sigma/sqrt("n")`

  • `sigma^2/sqrt("n")`

Miscellaneous problems [Pages 196 - 197]

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board 8 Sampling techniques and Statistical Inference Miscellaneous problems [Pages 196 - 197]

Miscellaneous problems | Q 1 | Page 196

Explain the types of sampling

Miscellaneous problems | Q 2 | Page 196

Write short note on sampling distribution and standard error

Miscellaneous problems | Q 3 | Page 196

Explain the procedures of testing of hypothesis

Miscellaneous problems | Q 4 | Page 196

Explain in detail the test of significance of a single mean

Miscellaneous problems | Q 5 | Page 196

Determine the standard error of proportion for a random sample of 500 pineapples was taken from a large consignment and 65 were found to be bad

Miscellaneous problems | Q 6 | Page 197

A sample of 100 students is drawn from a school. The mean weight and variance of the sample are 67.45 kg and 9 kg. respectively. Find (a) 95% (b) 99% confidence intervals for estimating the mean weight of the students

Miscellaneous problems | Q 7 | Page 197

The mean I.Q of a sample of 1600 children was 99. Is it likely that this was a random sample from a population with a mean I.Q 100 and standard deviation of 15? (Test at 5% level of significance)

Solutions for 8: Sampling techniques and Statistical Inference

Exercise 8.1Exercise 8.2Exercise 8.3Miscellaneous problems
Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board chapter 8 - Sampling techniques and Statistical Inference - Shaalaa.com

Samacheer Kalvi solutions for Business Mathematics and Statistics [English] Class 12 TN Board chapter 8 - Sampling techniques and Statistical Inference

Shaalaa.com has the Tamil Nadu Board of Secondary Education Mathematics Business Mathematics and Statistics [English] Class 12 TN Board Tamil Nadu Board of Secondary Education solutions in a manner that help students grasp basic concepts better and faster. The detailed, step-by-step solutions will help you understand the concepts better and clarify any confusion. Samacheer Kalvi solutions for Mathematics Business Mathematics and Statistics [English] Class 12 TN Board Tamil Nadu Board of Secondary Education 8 (Sampling techniques and Statistical Inference) include all questions with answers and detailed explanations. This will clear students' doubts about questions and improve their application skills while preparing for board exams.

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Concepts covered in Business Mathematics and Statistics [English] Class 12 TN Board chapter 8 Sampling techniques and Statistical Inference are Concepts of Sampling, Estimation, Hypothesis Testing.

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