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    Spss work Business Research Project

    Customer perception about soft drink

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    HypothesisIn this research we have different variables and hypothesis .we use hypothesis to check the relationship between independent and dependent variables. The value of alpha is .05to formulate the hypothesis.

    H0: There is no significant relationship between gender and consumption of coca cola.H1: There is a relationship between gender and consumption of coca cola.

    Chi-Square Tests

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 12.606 a 6 .050

    Likelihood Ratio 12.346 6 .055

    Linear-by-Linear Association .738 1 .390

    N of Valid Cases 110

    a. 7 cells (50.0%) have expected count less than 5. The minimum

    expected count is 1.50.

    In this first cross step we are trying to find the relationship between gender and

    consumption of coca cola .in ho we put the challenging statement to check the

    relationship in this first step we taked decision based on p value if our p

    Value is great than alpha which .05 than we dont reject the null

    Hypothesis so in this case we dont reject the null hypothesis.

    Ho: There is no significant relationship between gender and taste of coca cola.H1: There is a significant relationship between gender and taste of coca cola.

    consumption of soft drink * gender Cross tabulation

    Count

    gender

    Total male female

    consumption of soft drink coca cola 39 13 52

    pepsi 5 7 12

    sprite 13 5 18

    dew 9 1 10

    7up 7 1 8

    shezan 2 3 5

    other 2 3 5

    Total 77 33 110

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    rating of coca cola taste * gender Cross tabulation

    Count

    gender

    Totalmale female

    rating of coca cola taste strongly agree 24 6 30

    agree 35 18 53

    neither agreed nor disagreed 12 4 16

    disagree 7 4 11

    strongly disagree 0 1 1

    Total 78 33 111

    Chi-Square Tests

    Value df

    Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 4.581 a 4 .333

    Likelihood Ratio 4.737 4 .315

    Linear-by-Linear Association 1.591 1 .207

    N of Valid Cases 111

    a. 4 cells (40.0%) have expected count less than 5. The minimum

    expected count is .30.

    In this step we reject the null hypothesis on the base of p value in this case our p value is

    > than alpha so we dont reject the null hypothesis.

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    H0: There is no direct relationship between age and consumption of coca cola.H1: There is a direct relationship between age and consumption of coca cola.

    consumption of soft drink * age Cross tabulation

    Count

    age

    Total15-20 21-25 26-30 above 30

    consumption of soft drink coca cola 16 31 3 2 52

    pepsi 5 7 0 0 12

    sprite 2 13 3 0 18

    dew 3 4 3 0 10

    7up 1 7 0 0 8

    shezan 0 5 0 0 5

    other 0 4 1 0 5

    Total 27 71 10 2 110

    Chi-Square Tests

    Value df

    Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 21.538 a 18 .253

    Likelihood Ratio 24.959 18 .126

    Linear-by-Linear Association 2.388 1 .122

    N of Valid Cases 110

    a. 22 cells (78.6%) have expected count less than 5. The minimum

    expected count is .09.

    In this cross tab we check the relationship between consumption of soft drink and

    customer age .with the help of hypothesis we dont reject the null hypothesis on

    the base of p value .in this case p value is > than alpha.

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    H0: There is no significant relationship between age and impact of advertisement on

    purchasing decision.H1: There is a significant relationship between age and impact of advertisement on

    purchasing decision.

    attraction of TV adds to buy coke * age Cross tabulation

    Count

    age

    Total15-20 21-25 26-30 above 30

    attraction of tv adds to buy

    cokr

    strongly agree 0 6 0 1

    agree 10 16 5 1 3

    neither agreed nor disagreed 7 23 4 0 34

    disagree 8 23 0 0 3

    strongly disagree 3 3 1 0

    Total 28 71 10 2 1

    Chi-Square Tests

    Value df

    Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 19.087 a 12 .086

    Likelihood Ratio 21.418 12 .045

    Linear-by-Linear Association 3.601 1 .058

    N of Valid Cases 111

    a. 14 cells (70.0%) have expected count less than 5. The minimum

    expected count is .13.

    In this case we see the relationship between age and impact of advertisement on purchasing decision. So in this case we also dont reject the null hypothesis.

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    H0: There is no relationship between packaging and purchasing decision.H1: There is a relationship between packaging and purchasing decision.

    Chi-Square Tests

    Value df Asymp. Sig. (2-

    sided)

    Pearson Chi-Square 23.740a

    24 .477Likelihood Ratio 29.895 24 .188

    Linear-by-Linear Association .765 1 .382

    N of Valid Cases 110

    a. 29 cells (82.9%) have expected count less than 5. The minimum

    expected count is .09.

    In this last step of hypothesis we check the relationship between packaging and purchasing decision. So in this last step we dont reject the null hypothesis because in this

    case our p value is > alpha. The value of alpha is .05.

    Frequency

    consumption of soft drink * attraction of packaging Cross tabulation

    Count

    attraction of packaging

    Total

    strongly

    agree agree

    neither

    agreed nor

    disagreed disagree

    strongly

    disagree

    consumption of soft

    drink

    coca

    cola8 17 19 7 1 52

    Pepsi 0 5 6 1 0 12

    sprite 1 9 4 3 1 18

    dew 0 2 4 4 0 10

    7up 2 4 0 2 0 8

    shezan 0 3 1 1 0 5

    other 1 0 2 2 0 5

    Total 12 40 36 20 2 110

    consumption of soft drink

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid coca cola 53 47.3 47.7 47.7pepsi 12 10.7 10.8 58.6

    sprite 18 16.1 16.2 74.8

    dew 10 8.9 9.0 83.8

    7up 8 7.1 7.2 91.0

    shezan 5 4.5 4.5 95.5

    other 5 4.5 4.5 100.0

    Total 111 99.1 100.0

    Missing System 1 .9

    Total 112 100.0

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    usage

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid daily 54 48.2 48.2 48.2

    weekly 23 20.5 20.5 68.8

    socially 16 14.3 14.3 83.0

    occasionaly 19 17.0 17.0 100.0

    Total 112 100.0 100.0

    Now we are interested to find out that how many customer consume coke drink .we caneasily check with frequency table in 112 customer 53 customer consume coke in spite of other brand colas.12 customer consume papsi and and 18 customer consume sprite. Onthe other hand we can also find that how many customers consume coke daily and howmany customers weekly. In the help of frequency table we can find that 54 customersconsume daily and 23 customers consume weekly.

    using soft drink playing sports

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid strongly agree 6 5.4 5.4 5.4

    agree 29 25.9 25.9 31.2

    neither agreed nor disagreed 37 33.0 33.0 64.3

    disagree 27 24.1 24.1 88.4

    strongly disagree 13 11.6 11.6 100.0

    Total 112 100.0 100.0

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    Now in this step we are inserting to find out the customer who consumes soft drinkswhile playing sports. Out of 100% only 5.4 % customer are strongly agree that theyconsume soft drink while playing sports. And 33% customer is natural and 11.6%customer is strongly disagreeing to consume soft drink while playing sports.

    using soft drink during eating fast food

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid strongly agree 46 41.1 41.1 41.1

    agree 49 43.8 43.8 84.8

    neither agree nor disagreed 12 10.7 10.7 95.5

    disagree 4 3.6 3.6 99.1

    strongly disagree 1 .9 .9 100.0

    Total 112 100.0 100.0

    This table shows that how much customer consume soft drink during eating food .41%out of 100% are strongly agree that they consume soft drink during eating food .10%customer natural and .9% customers are strongly disagree to consume soft drink duringeating food.

    using soft drink while partying

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid strongly agree 48 42.9 42.9 42.9

    agree 45 40.2 40.2 83.0

    neither agreed nor disagreed 11 9.8 9.8 92.9

    disagree 6 5.4 5.4 98.2

    strongly disagree 2 1.8 1.8 100.0

    Total 112 100.0 100.0

    .

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    This table shows that out of 112 customers 48 customers are strongly agree that theyconsume soft drink while parting and 45 customers agree that they consume soft drink while parting with friends. Out of 100% only 1.8% customers strongly disagree

    satisfaction with price

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid strongly agree 9 8.0 8.0 8.0

    agree 38 33.9 33.9 42.0

    neither agreed nor

    disagreed29 25.9 25.9 67.9

    disagree 25 22.3 22.3 90.2

    strongly disagree 11 9.8 9.8 100.0

    Total 112 100.0 100.0

    Now we can check customers satisfaction level about soft drink prices. Out of 100%only 8% customer satisfied with the prices of soft drink. And 33. % customer agrees withthe price of soft drink and 25% customer natural with the price of soft drink.0ut of 100%9.8% customer strongly disagrees.

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    Satisfaction with quality

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid strongly agree 11 9.8 9.8 9.8

    agree 52 46.4 46.4 56.2

    neither agreed nor disagreed 34 30.4 30.4 86.6

    disagree 15 13.4 13.4 100.0

    Total 112 100.0 100.0

    This frequency table shows the customer satisfaction with quality of soft drink. We canfind that how much % customer strongly agrees with the prices of soft drink. Out of 100% 9.8 % customer strongly agree and 46.4 % are agree and 13% disagree with the

    price of soft drink.

    rating of coca cola taste

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid strongly agree 30 26.8 26.8 26.8

    agree 54 48.2 48.2 75.0

    neither agreed nor disagreed 16 14.3 14.3 89.3

    disagree 11 9.8 9.8 99.1

    strongly disagree 1 .9 .9 100.0

    Total 112 100.0 100.0

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    Now we are interesting to find out the taste of coca cola in respect to the customer

    perception .we can easily find that out of 100%, 26.8% customer strongly agree with the

    taste of coca cola and 48.2% customers agree 14.3% are natural and .9% customers are

    strongly disagree with the price of coca cola.

    rating of coca cola quality

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid strongly agree 24 21.4 21.4 21.4

    agree 54 48.2 48.2 69.6

    neither agreed nor disagreed 24 21.4 21.4 91.1

    disagree 9 8.0 8.0 99.1

    strongly disagree 1 .9 .9 100.0

    Total 112 100.0 100.0

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    This graph shows that how many customer are strongly agree with the quality of cokeand how many customers are disagree and how much are natural.

    attraction of packaging

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid strongly agree 12 10.7 10.8 10.8

    agree 40 35.7 36.0 46.8

    neither agreed nor disagreed 37 33.0 33.3 80.2

    disagree 20 17.9 18.0 98.2

    strongly disagree 2 1.8 1.8 100.0

    Total 111 99.1 100.0

    Missing System 1 .9

    Total 112 100.0

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    This graph shows that out of 100% 10.7% customers are strongly agree with theattraction of packaging of coke.17.9% disagree and 1.8% strongly disagree.

    effect of coke on social status

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid strongly agree 10 8.9 9.0 9.0

    agree 27 24.1 24.3 33.3

    neither agreed nor disagreed 44 39.3 39.6 73.0

    disagree 24 21.4 21.6 94.6

    strongly disagree 6 5.4 5.4 100.0Total 111 99.1 100.0

    Missing System 1 That 9

    Total 112 100.0

    Out of 100% 8.9% customer are strongly 24.1% 39.3% and 21.4 % agree natural andstrongly disagree.

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    price sensitive people

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid yes 43 38.4 38.7 38.7

    no 68 60.7 61.3 100.0

    Total 111 99.1 100.0

    Missing System 1 .9

    Total 112 100.0

    This table shows that out of 100% 34.4 percent customers are price sensitive 60% are not,its mean if the price of coke increase by 2 Rs they would not switch of other brand.

    age

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid 15-20 28 25.0 25.2 25.2

    21-25 71 63.4 64.0 89.2

    26-30 10 8.9 9.0 98.2

    above 30 2 1.8 1.8 100.0

    Total 111 99.1 100.0

    Missing System 1 .9

    Total 112 100.0

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    We are interesting to find out the customer age .out of 100%25% customer 15-20.63%

    customers are 21-25 8.9% are 26-30 and 1,8%above 30 years.

    house hold income

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid below 10000 47 42.0 43.5 43.5

    10000 & 15000 20 17.9 18.5 62.0

    15001 & 20000 14 12.5 13.0 75.0

    20001 & 25000 3 2.7 2.8 77.8

    25001 & 30000 8 7.1 7.4 85.2

    30000 & above 16 14.3 14.8 100.0

    Total 108 96.4 100.0

    Missing System 4 3.6

    Total 112 100.0

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    This table shows the customer house hold income.oyt of 100% 42.0 % customers are below 10000 and 12.5% customers are 15001-20000 and just 14.3% customers haveabove 30000 house hold income.

    occupation

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid student 86 76.8 77.5 77.5

    employee 15 13.4 13.5 91.0

    business man 7 6.2 6.3 97.3

    others 3 2.7 2.7 100.0

    Total 111 99.1 100.0

    Missing System 1 .9

    Total 112 100.0

    We can find the occupation of the customer whom we select in our research to find out

    the perception about soft drink. 0ut of 112 .86 customer are student 15 are employee7are

    business man and 3 other.

    gender

    Frequency Percent Valid Percent

    Cumulative

    Percent

    Valid male 78 69.6 70.3 70.3

    female 33 29.5 29.7 100.0

    Total 111 99.1 100.0

    Missing System 1 .9

    Total 112 100.0

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    In this last we can also find that how many males and females were selected in our

    research. Out of 112 samples 78 customers are males and 33 customers are females.