Descriptive Statistics

Descriptive Analysis:

The method to numerically describe the features of a set of data is called descriptive statistics. It is, in other words, a summary of the data collected. It is widely used for descriptive analysis of data, along with graphic statistics. The Statistics Help package from Dissertation India provides expert guidance for preparation and presentation of descriptive statistics. We have on board 24 PhD and more than 50 Master's level statisticians, who will guide you through the most difficult statistical analysis.

This is the list of ways to present descriptive statistics or the types of statistical summaries:

Following outputs from SPSS windows represent how the results for Descriptive Statistics are presented:

Descriptive Statistics:

A sample of 60 respondents was taken for the survey. Out of 60 respondents, 31.7% were less than 19 years of age, 28.3% of them were between 19 and 27 years of age and 40% of them are above 27 years of age. The table given below shows the information about the distribution of ages of the respondents.

Age_of_Employees

		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	Less Than 19 Years	19	31.7	31.7	31.7
	19 to 27 Years	17	28.3	28.3	60.0
	Greater Than 27 Years	24	40.0	40.0	100.0
	Total	60	100.0	100.0

The table given below shows the information about the distribution of Core Business

Core Business

		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	Industrial Products	16	26.7	26.7	26.7
	Retail Products	7	11.7	11.7	38.3
	Consumer Goods	22	36.7	36.7	75.0
	Other	15	25.0	25.0	100.0
	Total	60	100.0	100.0

From the above chart, we see that nearly 36.7% of the Green Products are consumer goods, and 26.7 of them were related to industrial products

The table given below shows the information about the distribution of years of experience in Business.

Years_of_Experience

		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	less than 1 year	13	21.7	21.7	21.7
	1 to 3 years	8	13.3	13.3	35.0
	3 to 5 years	12	20.0	20.0	55.0
	5 to 7 years	14	23.3	23.3	78.3
	greater than 7 years	13	21.7	21.7	100.0
	Total	60	100.0	100.0

From the above chart, we see that nearly 21.7% of the respondents have less than one year of experience in Green Products, 20% of them have 3 to 5 years of experience, 23.3% of them have 5 to 7 years of experience and 21.7% of them have greater than 7 years of experience

The table given below shows the information about the distribution of green products in helpful in reducing global warming

Helpful_Global_Warming

		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	Yes	33	55.0	55.0	55.0
	No	27	45.0	45.0	100.0
	Total	60	100.0	100.0

From the above table, we see that 55% of the respondents believe that green products are helpful in reducing global warming. This indicates that the awareness of global warming is quite high over the respondents taken for the survey.

Crosstab Count

		Consumer_Awareness		Total
		Good	Bad
Incorporate_Green_Thinking	Production Stage	48	0	48
	Product Development Stage	0	12	12
Total		48	12	60

Chi-Square Tests

	Value	df	Asymp. Sig (2-sided)	Exact Sig. (2-sided)	Exact Sig.(1-Sided)
Pearson	60.000a	1	.000
Conitinuity	53.913	1	.000
Likelihood Ratio	60.048	1	.000
Fisher's Exact Test				.000	.000
Linear-by-Linear Association	59.000	1	.000
Number of Valid Cases	60

1 cells (25.0%) have expected countless than 5. The minimum expected count is 2.40.

Computed only for a 2x2 table

From the above table, we see that the value of the chi-square test statistic is 60 and its corresponding p-value is 0.000. Since the p-value of the test statistic is less than 0.05, there is sufficient evidence to conclude that there is significant association between ‘Incorporating Green Thinking’ and ‘Consumer Awareness’

Test - 3

In order to determine whether there is a ‘significant association between ‘Incorporating Green Thinking’ and ‘Belief in Green Products’, the chi-square test for independence was carried out in SPSS. The null and alternate hypothesis is given below:

Null Hypothesis: H0: There is no significant association between ‘Incorporating Green Thinking’ and ‘Belief in Green Products’

Alternate Hypothesis: H1: There is a significant association between ‘Incorporating Green Thinking’ and ‘Belief in Green Products’

The SPSS output is given below:

Crosstab Count

		Purchase_Green_Products				Total
Incorporate_Green_Thinking	Production Stage	Price	Quality	Brand	Others
	Product Development Stage	6	25	17	0	48
		0	0	7	5	12
Total		6	25	24	5	60

Chi-Square Tests

	Value	Df	Asymp. Sig (2-sided)
Pearson Chi-Square	29.010a	3	.000
Likelihood Ratio	31.074	3	.000
Linear-by-Linear Association	21.626	1	.000
Number of Valid Cases	60

5 cells (62.5%) have expected count less than 5. The minimum expected count is 1.00

From the above table, we see that the value of the chi-square test statistic is 29.010 and its corresponding p-value is 0.000. Since the p-value of the test statistic is less than 0.05, there is sufficient evidence to conclude that there is a significant association between 'Core Business' and 'Belief in Green Products'. Going through the above graph, we see that incorporating green thinking at the production stage improves the Quality and the Brand name of the Green Products.

Test - 4

In order to determine whether there is a significant association between 'Incorporating Green Thinking' and 'Satisfied Green Products', the chi-square test for independence was carried out in SPSS. The null and alternate hypothesis is given below:

Null Hypothesis: H0: There is no significant association between 'Incorporating Green Thinking' and 'Satisfied Green Products'

Alternate Hypothesis: H1: There is a significant association between 'Incorporating Green Thinking' and 'Satisfied Green Products'

The SPSS output is given below:

Crosstab Count

		Satisfied_Green_Product			Total
		Yes	No	Never Used
Incorporate_Green_Thinking	Production Stage	17	26	48
	Product Development Stage	0	0	12
Total		17	26	60

Chi-Square Tests

	Value	df	Asymp.Sig (2-sided)
Pearson Chi-Square	37.941a	2	.000
Likelihood Ratio	39.451	2	.000
Linear-by-linear	26.0029	1	.000
n of Valid Cases	60

5 cells (33.3%) have expected count less than 5. The minimum expected count is 3.40

From the above table, we see that the value of the chi-square test statistic is 37.941 and its corresponding p-value is 0.000. Since the p-value of the test statistic is less than 0.05, there is sufficient evidence to conclude that there is a significant association between 'Incorporating Green Thinking' and 'Satisfied Green Products'.

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