final presentation of rm

8/7/2019 final presentation of rm

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Presentation of Research

Methodology


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Introduction This study was conducted on the subject customer

satisfaction in restaurants.

The basic purpose was to determine the factors that explaincustomer satisfaction in the full service restaurant industry.

It touches nearly every household in one way or another.


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Objective OfThe Study Is going to restaurant daily a social status.

To study how demographic variable (age, gender,

income, occupation) affect consumer preferences andsatisfaction.

To see whether brand name of restaurants makes anydifference on customer decision in selecting a

restaurant.

To see whether region or cultural background helps todevelop any special taste preference.


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Methodology

The research was conducted on sample size of101respondents.

Region selected for research was Chandigarh.

Convenient sampling .

Response rate - 100%.

The research was conducted in the month ofApril 2010.

Scale used were :

Likert scale

Ranking scale

Demographics

Both descriptive and inferential statistics were used.


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male

50%

female

50% male

female


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AGE

9%

74%

5%12%

below 18

18- 25

26- 35

36 and below


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Pie Showing Respondents Belonging To Different

Annual Family Income Groups

ANNUAL INCOME

17%

50%

33%150000- 300000

300000- 500000

500000 and above


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Table showing Average responses of the respondents ondifferent categories offood.

Gender

Chinese PunjabiSouthIndian Continental Mexican Italian

Male 1.86 1.51 2.45 2.00 1.90 2.04

Female 1.94 1.86 2.22 2.04 1.82 2.24


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Analysis Of Variance

Aim To study the relation between the preference of food withdifferent age groups.

Setting up of Hypothesis

Alternate Hypothesis: There is significant difference in thepreference of food with different age groups.

Level of significance at 5%.

Summary table:

continued.


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From the above table it is calculated that the null hypothesis is rejected and alternate

hypothesis is accepted.

The calculated value is less than the critical value.

So there is significantly difference in the preferences ofdifferent age groups.

ANOVA

Sum of Squares df Mean Square F Sig.

Chinese Between Groups 3.469 3 1.156 1.224 .306

Within Groups 80.328 85 .945

Total 83.798 88

Punjabi Between Groups 7.022 3 2.341 1.996 .120

Within Groups 109.040 93 1.172

Total 116.062 96

south Indian Between Groups 2.105 3 .702 .471 .703


Total 122.753 84continental Between Groups 2.154 3 .718 .414 .744


Total 102.774 61

Mexican Between Groups .790 3 .263 .256 .857


Total 34.757 36

Italian Between Groups 3.533 3 1.178 .606 .614


Total 96.769 51


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The minimum expected count is 2.02.

The alternate hypothesis is accepted as the calculated value is more than the

critical or table value.

So there is significant difference in the annual family income with the money

spent on per visit.

Chi square test

Aim To study the relation between the annual family income and themoney spent on per visit to a restaurant.

Setting up of hypothesis

Alternate hypothesis : There is significant difference in the annual family

income with the money spent on per visit to a restaurant.

Level of significance- 5%

Summary table-

Value df Asymp. Sig.

(2-sided)

PearsonC

hi-Square 3.357a

4 .500


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Null hypothesis is rejected and the alternate hypothesis is accepted as the

calculated value is more than the table value.

The gender plays a role in frequency of visiting a restaurant.

Chi square test Aim- To study whether gender plays any role in frequency of visiting a

restaurant. Setting up of Hypothesis

Alternate hypothesis : The gender plays role in frequency of visiting arestaurant.

Summary table:

Value df

Asymp. Sig.

(2-sided)

PearsonChi-Square 7.442a 4 .114


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The alternate hypothesis is rejected and the null hypothesis is accepted.

Chi square Test Aim To study whether gender affects choice to explore different

restaurants of the city.

Setting of Hypothesis Alternate hypothesis: Gender affects choice of exploring different

restaurants of the city.

Summary table:


(2-sided)Pearson Chi-Square .101a 1 .750


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Alternate hypothesis is accepted as the calculated value is more than the

critical value or table value.

So the brand name ofrestaurant makes difference in the opinion of gender.

Chi square test Aim- To study whether the brand name of the restaurant makes

difference in the opinion of gender.

Setting of hypothesis:

Alternate hypothesis : The brand name of the restaurant makesdifference in the opinion of gender.

Summary table


(2-sided)Pearson Chi-Square

18.541a 4 .001


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Limitations

Due to constraint of resources region for research wasrestricted to Chandigarh on the sample size of 101 only.

In case of few respondents guinea pig effect was alsoseen.

There was hesitation in case of many respondents in

disclosing there monthly spending.Use of convenient sampling.


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Documents

final presentation of rm