Spss Test 6_mukesh Kumawat

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Question 1 Table 1 : test for normality (Descriptives) Statisti c Std. Error Profession of Respondent Mean 2.78 .138 95% Confidence Interval for Mean Lower Bound 2.50 Upper Bound 3.05 5% Trimmed Mean 2.75 Median 3.00 Variance 1.456 Std. Deviation 1.207 Minimum 1 Maximum 5 Range 4 Interquartile Range 2 Skewness .165 .276 Kurtosis -.814 .545 Table 2: Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statisti c df Sig. Statisti c df Sig. Profession of Respondent .161 76 .000 .912 76 .000 In table 1 the skewness statistic is .165 and std error .276 and kurtosis is -.814 and std error .545 Test for normality if the result after dividing statistic /std error and in kurtosis ststistic/std error result should be +1.92 to -1.92 then the data collection in normal other wise not So here in skewness=.165/.276=.5978

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Transcript of Spss Test 6_mukesh Kumawat

Question 1Table 1 : test for normality (Descriptives)

StatisticStd. Error

Profession of RespondentMean2.78.138

95% Confidence Interval for MeanLower Bound2.50

Upper Bound3.05

5% Trimmed Mean2.75

Median3.00

Variance1.456

Std. Deviation1.207

Minimum1

Maximum5

Range4

Interquartile Range2

Skewness.165.276

Kurtosis-.814.545

Table 2: Tests of Normality

Kolmogorov-SmirnovaShapiro-Wilk

StatisticdfSig.StatisticdfSig.

Profession of Respondent.16176.000.91276.000

In table 1 the skewness statistic is .165 and std error .276 and kurtosis is -.814 and std error .545Test for normality if the result after dividing statistic /std error and in kurtosis ststistic/std error result should be +1.92 to -1.92 then the data collection in normal other wise notSo here in skewness=.165/.276=.5978Kurtosis=-.814/.545=-1.49In both condition the result between +1.92 to -1.92 so the data is normal

In table 2 test for normality if sig. value .05 then data is normally distributed other wise not . But here sig value 0 so data is not normally distributed

Chart 1 : test for normality

In the chart 1 histogram chart below epicts a bell shaped curve for so the data is normally distributed.

Question 2Table 1: mode for age group

Statistics

Age of Respondent

NValid76

Missing0

Mode2

In table 1 mode is 2 it mean age group 20-30 are more frequently compare with other age group Table 2: Frequencies for age

Age of Respondent

FrequencyPercentValid PercentCumulative Percent

ValidLess than 201418.418.418.4

20-304356.656.675.0

31-401114.514.589.5

41-5079.29.298.7

51-6011.31.3100.0

Total76100.0100.0

In table 2 age of respondent we can see that the age group 20-30 is more frequently (43) comparison to other so as a result we can target this age group

Chat 1 : histogram chart for age groupQQIn this graph the bell shape curve indicate that the age group 2 (20-30) is more frequently and we can target it.Question 3Table 1 mode for marital status

Statistics

Marital Status

NValid76

Missing0

Mode1

In table 1 mode for marital status resulted 1 show that the unmarried people are more frequently so we can target it

Table :2 frequencies for marital status

Marital Status

FrequencyPercentValid PercentCumulative Percent

ValidSingle5775.075.075.0

Married1925.025.0100.0

Total76100.0100.0

Table 2 frequencies for marital status resulted 1 show that the unmarried people are more frequently compare to other so we can target it

Pie Chart 1: for marital status

In this pie chart we can see the unmarried people are more frequent compare to other so if we target unmarried people it would be better for us

Chat 2: for marital status (histogram)

In this graph bell shape curve also show that the unmarried people are more frequently with nearly 100% so we can target it an it would be more profitableQuestion 4Table 1: cross tabulation between gender of respondents*eating out of respondents

Sex of Respondent * No of times one eats out in a week Crosstabulation

No of times one eats out in a weekTotal

1-34-67-910-12

Sex of RespondentMaleCount32145859

% within Sex of Respondent54.2%23.7%8.5%13.6%100.0%

FemaleCount1331017

% within Sex of Respondent76.5%17.6%5.9%.0%100.0%

TotalCount45176876

% within Sex of Respondent59.2%22.4%7.9%10.5%100.0%

In this table the cross tabulation show that gender male 54.2% people eat 1-3 time in a week an 23.7 people eat 4-6 and 8.5% people eat 7-9 times and 13.6 % people eat 10-12 time And gender female 76.5% eat 1-3 time eat out in a week and so on So as a result 59.2% both gender eat 1-3 time in a week is highest compare to other

Cluster chart1: between sex of respondents* eating out of respondents

Bar chart show that in gender male 32 male are respond to eat out 1-3 in a week an 14 male towards 4-6 and 5 male to 7-9 and 8 male to 10-12In female 13 female eat out 1-3 times in a week , 3 female eat out 4-6 times in a week and 1 female eat out 7-9 in a week and no female eat out 10-12 times in a week Question 5

Chart 1:Bar graph for rank frequencies

In this graph people first prefer food quality after that brand then price and so on

Frequently table Snbrand categoryrank 1rank2rank3rank 4rank 5rank 6

1food 53910121

2price925129156

3service51712141810

4family and friend 21118131715

5location681720169

6Brand 15819835

Table show that 53 people first prefer food then 25 price and so on