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8/7/2019 br project summary
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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.