IGNOU ECO 07 Solved Assignment 2022-23

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IGNOU ECO 07 Solved Assignment 2022-23

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Important Note – IGNOU ECO 07 Solved Assignment 2022-2023  Download Free You may be aware that you need to submit your assignments before you can appear for the Term End Exams. Please remember to keep a copy of your completed assignment, just in case the one you submitted is lost in transit.

Download Question Paper 

Submission Date :

• 31st March 2033 (if enrolled in the July 2033 Session)
• 30th Sept, 2033 (if enrolled in the January 2033 session).

All questions are compulsory.

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1. What is sampling? Discuss the various methods of sampling?

There are two types of sampling methods:

• Probability sampling involves random selection, allowing you to make strong statistical inferences about the whole group.
• Non-probability sampling involves non-random selection based on convenience or other criteria, allowing you to easily collect data.

You should clearly explain how you selected your sample in the methodology section of your paper or thesis.

Population vs sample

First, you need to understand the difference between a population and a sample, and identify the target population of your research.

• The population is the entire group that you want to draw conclusions about.
• The sample is the specific group of individuals that you will collect data from.

The population can be defined in terms of geographical location, age, income, and many other characteristics.

It can be very broad or quite narrow: maybe you want to make inferences about the whole adult population of your country; maybe your research focuses on customers of a certain company, patients with a specific health condition, or students in a single school.

It is important to carefully define your target population according to the purpose and practicalities of your project.

If the population is very large, demographically mixed, and geographically dispersed, it might be difficult to gain access to a representative sample.

Sampling frame

The sampling frame is the actual list of individuals that the sample will be drawn from. Ideally, it should include the entire target population (and nobody who is not part of that population).

Example: Sampling frame

You are doing research on working conditions at Company X. Your population is all 1000 employees of the company. Your sampling frame is the company’s HR database which lists the names and contact details of every employee.

Sample size

The number of individuals you should include in your sample depends on various factors, including the size and variability of the population and your research design. There are different sample size calculators and formulas depending on what you want to achieve with statistical analysis.

Probability sampling methods

Probability sampling means that every member of the population has a chance of being selected. It is mainly used in quantitative research. If you want to produce results that are representative of the whole population, probability sampling techniques are the most valid choice.

There are four main types of probability sample.

1. Simple random sampling

In a simple random sample, every member of the population has an equal chance of being selected. Your sampling frame should include the whole population.

To conduct this type of sampling, you can use tools like random number generators or other techniques that are based entirely on chance.

Example: Simple random sampling

You want to select a simple random sample of 100 employees of Company X. You assign a number to every employee in the company database from 1 to 1000, and use a random number generator to select 100 numbers.

2. Systematic sampling

Systematic sampling is similar to simple random sampling, but it is usually slightly easier to conduct. Every member of the population is listed with a number, but instead of randomly generating numbers, individuals are chosen at regular intervals.

Example: Systematic sampling

All employees of the company are listed in alphabetical order. From the first 10 numbers, you randomly select a starting point: number 6. From number 6 onwards, every 10th person on the list is selected (6, 16, 26, 36, and so on), and you end up with a sample of 100 people.

If you use this technique, it is important to make sure that there is no hidden pattern in the list that might skew the sample. For example, if the HR database groups employees by team, and team members are listed in order of seniority, there is a risk that your interval might skip over people in junior roles, resulting in a sample that is skewed towards senior employees.

3. Stratified sampling

Stratified sampling involves dividing the population into subpopulations that may differ in important ways. It allows you draw more precise conclusions by ensuring that every subgroup is properly represented in the sample.

To use this sampling method, you divide the population into subgroups (called strata) based on the relevant characteristic (e.g. gender, age range, income bracket, job role).

Based on the overall proportions of the population, you calculate how many people should be sampled from each subgroup. Then you use random or systematic sampling to select a sample from each subgroup.

Example: Stratified sampling

The company has 800 female employees and 200 male employees. You want to ensure that the sample reflects the gender balance of the company, so you sort the population into two strata based on gender. Then you use random sampling on each group, selecting 80 women and 20 men, which gives you a representative sample of 100 people.

4. Cluster sampling

Cluster sampling also involves dividing the population into subgroups, but each subgroup should have similar characteristics to the whole sample. Instead of sampling individuals from each subgroup, you randomly select entire subgroups.

If it is practically possible, you might include every individual from each sampled cluster. If the clusters themselves are large, you can also sample individuals from within each cluster using one of the techniques above. This is called multistage sampling.

This method is good for dealing with large and dispersed populations, but there is more risk of error in the sample, as there could be substantial differences between clusters. It’s difficult to guarantee that the sampled clusters are really representative of the whole population.

Example: Cluster sampling

The company has offices in 10 cities across the country (all with roughly the same number of employees in similar roles). You don’t have the capacity to travel to every office to collect your data, so you use random sampling to select 3 offices – these are your clusters.

2 If the mean of the given frequency distribution is 35, then find the missing frequency y. Also, calculate the median and mode for the distribution.

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3. a) Discuss the sources of secondary data. What precautions should be taken while using secondary data?

b) Define Geometric and Harmonic mean? Differentiate between them?

4 The wages of nine workers are given below: `310, `290, `320, `280, `300, `290, `320, `310, `280.

Find the following:
a) Standard Deviation
b) Variance

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IGNOU ECO 07 Solved Assignment 2022-23

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5 Write short notes on the following:
(a) Distrust of Statistics
(b) Statistical Derivatives
(c) Moving Averages
(d) Properties of Normal Curve

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IGNOU Instructions for the ECO 07 ELEMENTS OF STATISTICS Solved Assignment 2022-23

IGNOU ECO 07 Solved Assignment 2022-2023 Download Free  Before attempting the assignment, please read the following instructions carefully.

1. Read the detailed instructions about the assignment given in the Handbook and Programme Guide.
2. Write your enrolment number, name, full address and date on the top right corner of the first page of your response sheet(s).
3. Write the course title, assignment number and the name of the study centre you are attached to in the centre of the first page of your response sheet(s).
4. Use only foolscap size paperfor your response and tag all the pages carefully
5. Write the relevant question number with each answer.
6. You should write in your own handwriting.

GUIDELINES FOR IGNOU Assignments 2022-23

IGNOU ECO 07 Solved Assignment 2022-23 You will find it useful to keep the following points in mind:

1. Planning: Read the questions carefully. IGNOU ECO 07 Assignment 2022-23 Download Free Download PDF Go through the units on which they are based. Make some points regarding each question and then rearrange these in a logical order. And please write the answers in your own words. Do not reproduce passages from the units.
2. Organisation: Be a little more selective and analytic before drawing up a rough outline of your answer. In an essay-type question, give adequate attention to your introduction and conclusion. IGNOU ECO 07 Solved Assignment 2022-2023 Download Free Download PDF The introduction must offer your brief interpretation of the question and how you propose to develop it. The conclusion must summarise your response to the question. In the course of your answer, you may like to make references to other texts or critics as this will add some depth to your analysis.
3. Presentation: IGNOU ECO 07 Solved Assignment 2022-2023 Download Free Download PDF Once you are satisfied with your answers, you can write down the final version for submission, writing each answer neatly and underlining the points you wish to emphasize.

IGNOU Assignment Front Page

The top of the first page of your response sheet should look like this: Get IGNOU Assignment Front page through. And Attach on front page of your assignment. Students need to compulsory attach the front page in at the beginning of their handwritten assignment.

ENROLMENT NO: …………………………………………………….

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ECO 07 Handwritten Assignment 2022-23

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