Exam Details

Subject STATISTICAL INFERENCE
Paper
Exam / Course POST GRADUATE DIPLOMA IN APPLIED STATISTICS (PGDAST)
Department School of Sciences (SOS)
Organization indira gandhi national open university
Position
Exam Date December, 2016
City, State new delhi,


Question Paper

1. State whether the following statements are True or False. Give reasons in support of your answers.

A function of sample values to estimate a parameter is called sampling unit.

An estimator·(T) is said to be unbiased for parameter if Var(T) =e.

Rejecting null hypothesis when it is true is called type-I error.

The number of runs in HTHHTTHHHTTT is 6. the sequence

The estimators obtained by the method of moments are more efficient than the maximum likelihood estimators.

The salaries (in thousands) of 5 workers in a factory are 20, 15, 14, 10 and 25.

How many samples of size 2 are possible without replacement Write them.

How many samples of size 2 are possible with replacement

A machine produces a large number of items of which 15% are found to be defective. If a random sample of 200 items is taken from the population and the sample proportion is calculated, then find

the mean and standard error. of the sampling distribution of the proportion defective.

the probability that less than or equal to 16% defectives are found in the sample.

OR

The probability density function of a t-distribution is given by

<img src='./qimages/10350-2a-ii.jpg'>

What is the degree of freedom of the t-distribution

What are the mean and variance of the t-distribution

Write any two applications of the t-distribution.

Differentiate between the following with examples:

Population and Sample

Estimator and Estimate

To estimate the average nicotine content in a newly launched cigarette, an analyst randomly selects 44 of these cigarettes and determines their nicotine content. It is known from past experience that the standard deviation of the nicotine content of a cigarette is equal to 0·7 milligrams.

Answer the following questions
What is a 95 percent confidence interval estimate of the average nicotine content in the cigarettes, if the average nicotine content :finding in the sample is 1·75 milligrams?

How large a sample is necessary for the length of the 95 percent confidence interval so that the estimate of the average nicotine content lies between ± 0·3 milligrams?

OR

Show that the sample mean is an unbiased estimator of the population mean survey was undertaken to learn about the weekly average number of working hours of a university professor. A sample of 10 professors yields the following data:
48,25,20,65,72,35,50,62,42,30
Use this data to estimate the population mean of the number of working hours per week.

Find the maximum likelihood estimator for parameter A of the exponential distribution whose probability density function is given by

<img src='./qimages/10350-3c.jpg'>

An agency claimed that 70% of its employees felt that work stress had a negative impact on their personal lives. To check this statement,an analyst took a random sample of 100 employees and found that out of the 100 employees, 75 felt that work stress had a negative impact on their personal lives. Formulate the null and alternative hypotheses and test the claim at level of significance.

A company uses two sources of raw materials. Both the sources seem to have similar characteristics but the company is not sure about their respective uniformity. To check it, a sample of10 lots from source A and a sample of 11 lots from source B are taken. The following data are obtained:

<img src='./qimages/10350-4b-i.jpg'>

Is it likely that the variance of source A is significantly greater than the variance of . source B at level of significance?

OR

A researcher wants to compare the effect of two different types of drugs, A and for increasing weight. She gives drug A to 5 persons and drug B to 6 persons and records the increase in weight (in pounds) which are given below:

<img src='./qimages/10350-4b-ii.jpg'>

It is known that the effects of both drugs are normally distributed with equal variances. To examine that the two drugs differ significantly with regard to their effect in increasing weight, answer the following:

Are both samples paired or independent?

State the null and alternative hypotheses.

Which test is used for testing the null hypothesis in this case, and why?

Conduct the suitable test at level of significance and interpret the result.

The table given below shows the relation between the performances of students in statistics and mathematics. Test the hypothesis that the performance of the students in statistics is independent of their performance in mathematics using 0.01 significance level.

<img src='./qimages/10350-5a.jpg'>

OR

A company is trying to improve the work efficiency of its employees. It has organised a .special training programme for all employees. In order to assess the effectiveness of the training programme, the company has selected 10 employees randomly and administered a questionnaire. The scores (out of 50) obtained by the employees are given in the following table:

<img src='./qimages/10350-5b.jpg'>

It is known that the distribution of the differences of the scores before and after the training programme is symmetrical about its median: To examine whether the training programme has improved the efficiency of the employees, answer the following questions

Are both samples paired or independent?

State the null and alternative hypotheses.

Which test is used for testing the null hypothesis in this case, and why?

Conduct the suitable test at level of significance and interpret the result.


Other Question Papers

Departments

  • Centre for Corporate Education, Training & Consultancy (CCETC)
  • Centre for Corporate Education, Training & Consultancy (CCETC)
  • National Centre for Disability Studies (NCDS)
  • School of Agriculture (SOA)
  • School of Computer and Information Sciences (SOCIS)
  • School of Continuing Education (SOCE)
  • School of Education (SOE)
  • School of Engineering & Technology (SOET)
  • School of Extension and Development Studies (SOEDS)
  • School of Foreign Languages (SOFL)
  • School of Gender Development Studies(SOGDS)
  • School of Health Science (SOHS)
  • School of Humanities (SOH)
  • School of Interdisciplinary and Trans-Disciplinary Studies (SOITDS)
  • School of Journalism and New Media Studies (SOJNMS)
  • School of Law (SOL)
  • School of Management Studies (SOMS)
  • School of Performing Arts and Visual Arts (SOPVA)
  • School of Performing Arts and Visual Arts(SOPVA)
  • School of Sciences (SOS)
  • School of Social Sciences (SOSS)
  • School of Social Work (SOSW)
  • School of Tourism & Hospitality Service Sectoral SOMS (SOTHSM)
  • School of Tourism &Hospitality Service Sectoral SOMS (SOTHSSM)
  • School of Translation Studies and Training (SOTST)
  • School of Vocational Education and Training (SOVET)
  • Staff Training & Research in Distance Education (STRIDE)

Subjects

  • BASIC STATISTICS LAB SET-1
  • BASIC STATISTICS LAB SET-2
  • DESCRIPTIVE STATISTICS
  • FOUNDATION IN MATHEMATICS AND STATISTICS
  • INDUSTRIAL STATISTICS I
  • INDUSTRIAL STATISTICS II
  • INDUSTRIAL STATISTICS LAB SET-1
  • INDUSTRIAL STATISTICS LAB SET-2
  • PROBABILITY THEORY
  • STATISTICAL INFERENCE
  • STATISTICAL TECHNIQUES