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    Alama Iqbal Open University Islamabad

    Department of Business Administration Page.1

    Assignment NO. 2

    Business Mathematics and Statistical (MBA-5528)

    Topic: ESTEMATION AND HYPOTHESIS TESTING

    Submitted to: Sir Aftab Ahmad khanSubmitted by: Faizullah khan

    Roll no. AH-522997 cell (0346-9175441)

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    ACKNOWLEDGEMENT

    All praises to Almighty Allah, the most Gracious, the most

    Beneficent and the most Merciful, who enabled me to

    complete this assignment.

    I feel great pleasure in expressing my since gratitude to my

    teacher, for his guidance and support for providing me an

    opportunity to complete a productive research study of my

    topic

    Estimation and hypothesis testing

    My special thanks and acknowledgments to Mr.Sarfaraz for

    providing me all relative information, guidance and support

    to compile the practical study of Engro food (pvt)

    I will keep my hopes alive for the success of given task to

    submit this report to my honorable teacher Sir AftabAhmad Khan whose guidance; support and encouragement

    enable me to complete this assignment.

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    EXECUTIVE SUMMARY

    This assignment is a research-oriented activity,

    which represents both the theoretical and practical

    implication of the topic. In the first section of this

    assignment, I explain the theoretical aspect of the

    topic and all major parts has been explained which

    are involved in the method of for Estimation and

    Hypothesis testing For empirical study, I select

    Engro food company.

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    Table of Contents Page No

    Title page 01

    Acknowledgement 03

    Abstract 04

    Table of contents 05

    Introduction to the issue 06

    Case study 9

    Data collection methods 17

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    2) Presentation of data

    3) Analysis of data

    4) Interpretation of data

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    After the collection of data and performing the statistic

    procedure upon the raw data, it has become secondary data

    which has become information and is useful for the user.

    The user of this data uses it to estimate about the parameter

    of the concern population, this procedure and stage of

    statistic collection is called estimation.

    n statistics, estimation refers to the process by which one

    makes inferences about a population, based on information

    obtained from a sample.

    Point Estimate vs. Interval Estimate:

    Statisticians use sample statistics to estimate populationparameters.

    For example, sample means are used to estimate population means; sample

    proportions, to estimate population proportions.

    An estimate of a population parameter may be expressed in two ways:

    Point estimate. A point estimate of a population parameter is a single

    value of a statistic. For example, the sample mean x is a point estimate

    of the population mean . Similarly, the sample proportionp is a point

    estimate of the population proportion P.

    Interval estimate. An interval estimate is defined by two numbers,

    between which a population parameter is said to lie. For example, a

    110 lbs (iii) H : < 110 lbs.

    Setting up levels of significance:

    Once the null hypothesis is set up, the next job is to set the limits within

    which we expect (the null hypothesis) m lies. The idea behind it is to ensure

    that the difference between the sample value and the hypothesis should arise

    due to sampling fluctuations alone. If this difference does not exceeds this

    limit then the sample supports the null hypothesis and the sample is

    accepted. If it exceeds this limit the sample does not support the hypothesis

    and it is rejected.

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    Now fixing the limits totally depends upon the accuracy desired. Generally

    the limits are fixed such that the probability that the difference will exceeds

    the limits is 0.05 or 0.01. These levels are known as the 'levels of

    significance' and are expressed as 5% or 1% levels of significance. Rejection

    of null hypothesis does not mean that the hypothesis is disproved.

    It simply means that the sample values does not support the hypothesis.

    Also, acceptance does not mean that the hypothesis is proved. It means

    simply it is being supported.

    Confidence limits

    The limits (or range) within which the hypothesis should lie with specified

    probabilities are called the confidence limits or fiducial limits. It is

    customary to take these limits as 5% or 1% levels of significance. If sample

    values lies between the confidence limits, the hypothesis is accepted; if it

    does not, the hypothesis is rejected at the specified level of significance.

    Errors in Testing Of Hypothesis

    In testing any hypothesis, we get only two results: either we

    accept or we reject it. We do not know whether it is true or

    false. Hence four possibilities may arise.

    The hypothesis is true but test rejects it (Type I error)

    The hypothesis is false but test accepts it (Type II error)

    The hypothesis is true and test accepts it (correct decision)

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    The hypothesis is false and test rejects it (correct decision)

    In a statistical hypothesis testing experiment there are two

    types of errors which could occur which are detailed below:-.

    Type I error:

    Is committed when the null hypothesis is rejected though it is true. In

    terms of probability, Type I error is denoted by (alpha) where

    = probability of type I error

    = probability (rejecting H / H is true).

    A Type II error:

    is committed by not rejecting ( i.e. accepting) the null

    hypothesis, when it is false. The probability of Type II error is

    denoted by (beta) where

    = probability of Type - II error

    = probability (accepting Ho / H is false)

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    Now supposes Murray, a manufacturer produces some

    type of articles of good quality. A purchaser by chance

    selects a sample randomly. It so happens that the sample

    contains many defective articles and it leads the purchaser

    to reject the whole product. Now, Murray suffers a loss even

    though he has produced a good article of quality. Therefore,

    this Type I error is called "producers risk".

    On the other hand, if we accept the entire lot on the basis of

    a sample and the lot is not really good, the consumers are

    put in loss. Therefore, this Type II error is called the

    "consumers risk".

    In practical situations, still other aspects are considered

    while accepting or rejecting a lot. The risks involved for both

    producer and consumer are compared. Then Type I and Type

    II errors are fixed; and a decision is reached.

    Type of testing

    Two tail teste

    The two-tailed test is a statistical test used in

    inference, in which a given statistical hypothesis, H0

    (the null hypothesis), will be rejected when the value

    of the test statistic is either sufficiently small or

    sufficiently large. This contrasts with a one-tailed

    http://www.answers.com/topic/statisticshttp://www.answers.com/topic/statistical-inferencehttp://www.answers.com/topic/statistical-hypothesis-testinghttp://www.answers.com/topic/null-hypothesishttp://www.answers.com/topic/test-statistic-1http://www.answers.com/topic/statisticshttp://www.answers.com/topic/statistical-inferencehttp://www.answers.com/topic/statistical-hypothesis-testinghttp://www.answers.com/topic/null-hypothesishttp://www.answers.com/topic/test-statistic-1
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    test, in which only one of the rejection regions

    "sufficiently small" or "sufficiently large" is reselected

    according to the alternative hypothesis being

    selected, and the hypothesis is rejected only if the

    test statistic satisfies that criterion. Alternative

    names are one-sided and two-sided tests.

    Suppose = 1 0

    true hypothesis

    H0: = 1 0

    1 : is not equal to 10

    There are tow type of tow tail test.

    http://www.answers.com/topic/alternate-hypothesishttp://www.answers.com/topic/alternate-hypothesis
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    Right tail test

    H0:. 10

    H1:. 10

    The reason of Z-test and T- test

    Z-test T-test is known

    Sample size >30

    is un- know then

    n

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    EngroFood s History

    Engro Foods (Pvt.) Limited (EFL) has beenestablished in 2005 as part of a diversification

    process at the Engro Group. The plant located atSukkur on 23 acre land, has the raw milk receptioncapability of 300,000 liters per day and UHT milkcapacity of 200,000liters per day. The plant has beenestablished at a cost of Rs. 1 billion which providesdirect employment to 750 people. Engro Foods hasentered the Food business through milk processingand sale with the companys vision to pursue growth

    opportunities based on country fundamentals andown strength. It also positions the company toleverage its corporate social responsibility initiativesand work closely with rural communities to promoteintegrated farming and livestock development. Thiseffort is expected to play a pivotal role in povertyalleviation and improving livelihoods of the poor inthe milk collection areas.

    Vision

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    "Our vision is to become a fast expanding megafoods company. To achieve our vision, the companywill initially focus on dairy by investing a substantialamount in plant, milk collection capability and

    marketing. We are making concrete efforts to expandin and beyond Pakistan; through strategicinternational alliances, to eventually become global."

    Engro Food

    Brands:

    Olpers milk

    Olpers cream

    Olwell

    Skim milk

    Tarang

    Tea milk

    Olpers

    Olpers A well known brand of Engro Foods (Pvt.) Ltd.

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    Commercially launched in March 2006

    Research QuestionsQ1. What is the extent to which Olpers advertisement?

    campaign has created a positioning for the product that was

    desired by management?

    Q2. Which one is the most effective TV channel to reach the

    consumer and what is the effectiveness of the channels being

    currently used?

    Research Objective

    To identify the acceptability and perception of Packaged milk

    brands

    To identify the brand Appeal of consumers towards Olpers

    To discover the preferences of time and channels of TV

    viewers

    To identify the impact of Olpers Advertisement on

    Consumer Perception

    Research Design

    Questionnaire

    Questions correspond to the objectives

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    Likert scale was utilized to give quantitative results for

    positioning statements

    Perception of Packaged Milk Brands

    Reliability of questions was assured

    Observational Study

    TV Channels watched GEO news, GEO entertainment, ARY

    Digital and PTV Network

    Time watched: 4 pm to 12 pm during Weekend

    Sampling criteria

    Sample size: 200

    Limited due to time constraints

    Assigned by Course Instructor

    Sample Unit: Individual

    Household

    Sampling Design

    Stratified Sampling

    Demographics of Sample

    Housewives 22

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    35 years old

    SEC A1, A2 and B

    Perception of Packaged Milk

    Market share

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    Market Share of all Brand

    Quality

    Quality PerceptionQuality perception of the brand

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    Perception of the Packaging

    TV viewing habits

    TV viewing habits of the Target Audience:

    Hours spent daily on watching TV

    30 minutes on average

    Timeslots patterns for watching TV Duration

    Duration %

    0-10 minutes 10

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    11-30 minutes 34

    31-60 minutes 42

    1-3 hours 12

    More then 3 hours 2

    Programs and AD

    TV Programs watched by Target Market

    Specific programs in tandem with Advertisement to intensify

    recall level

    Marina Morning, Nadia Khan Show, Cooking with Raha

    Indian Soaps

    Advertisements remembered : Telenor, ZONG, Tapal,

    Olpers, Ufone, Cooking Oil etc

    Central idea

    Central Idea of Ad

    Moments of Happiness and enjoyment are incomplete

    without Olpers

    Olpers is a brand for Optimistic people

    Hypothesis 01

    Ho: Olpers has been ineffective in establishing its desired

    positioning o 2

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    Ha: Olpers has been effective in establishing its desired

    positioning a> 2

    Conclusion

    Null hypothesis is rejected

    At 10% significance level, the sample provides sufficient

    evidence to conclude that since the mean is greater than 2,

    therefore, Olpers has been successful in establishing its

    overall positioning.

    Hypothesis 02

    Ho: Olpers media planning has been ineffective

    Po50%

    Ha: Olpers media planning has been effective

    Pa>50%Conclusion

    Null hypothesis is rejected

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    At 5% level of significance; his sample data provides sufficient

    evidence to conclude that more than 50% of the respondents have

    watched the Ad, therefore, Olpers media planning has been

    effective.

    Finding

    Most of the participants watched entertainmentand recipe channels/shows

    Most of the respondents were program specificwatchers e.g. Nadia Khan Show, Cooking withRahat.

    The Favorite channels among the participantswere: Geo entertainment, Hum TV, ARY, Aaj TV& Geo news

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    Average Viewing Time 30minutes

    Viewing Time: Most viewed time slots were

    09:00 -12:00 and19:00 -22:00.

    Overall positioning has been established to anextent.

    The Packaging of Olpers is aligned with thebrand positioning and respondents showedfavorable attitude towards it.

    SWOT Analysis

    Strengths

    1. Engros backOlpers is a brand of ENGRO foods.ENGRO foods can easily afford research and

    development.ENGRO can distribute the brand through betterchannel

    2. PR with farmers

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    ENGRO has a strong bond and long term relationshipwith the farmers who are willing to supply milk to thecompany.

    Weaknesses

    1. Olwell TVCOlwell ad which is based on Western life style.Failed to analyze in Pakistan, where practicingMuslims reside,Ignoring the ethics, religious beliefs and cultural

    values.

    2. Owning Red Color.There is no color association attached to Olpers.

    Opportunities

    1. Increased funding by Government

    Government has decided to increase farmersfunding.

    2. Increased consumption of PLMEach competitor in the milk industry wants toincrease penetration of processed liquid milk.

    Threats

    1 Perception and Price DifferentialsConsumers perceptions and price differentials cancause a threat for the company. It is important thatOlpers comes up to the expectations of thecustomers

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    For example, lose milk is still cheaper than packagedmilk and that is also one factor that people still preferto buy lose milk.

    2 CompetitionsFor Olpers it might be difficult to penetrate in a

    market where the loyalties exist for such brands asNestle and Haleeb.

    Recommendation

    Advertisements should be aired during thesetime slots 9am 12am and evening 7pm -10pm

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    Proposed Channel weightage for: PTV, GeoEntertainment, ARY Digital, HUMTV

    Cable movie channels as an alternate Costeffective platform for mass communication

    Advertisement should be program based ratherthan channel based.

    After TV, the widest reach and recall is ofBillboard advertisements

    Advertisement Campaign:1. The packaged milk users appear confusedabout the true meaning of Olpers mediacommunication

    2. Media content must be modified in simplerterms to reduce difference of brand imageand identity

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    Reference

    From the book

    From google.com

    From wikipedia