"the impact of women entrepreneurs on economic development of rwanda" case study of women entrepreneur in expo 2010 organized by rwanda private sector federation.

4.3.5 Analysis of women entrepreneurs' economic situation before and after becoming entrepreneur

This part is concerned with the analysis of women entrepreneurs' situation before and after becoming entrepreneurs, it gives an overview on the improvements made by women entrepreneurs as a result of being entrepreneurs. In this part the researcher uses paired-sample T-test to test differences between means monthly savings, monthly expenses and mean working capital both at the start and currently in the business.

4.3.5.1 Comparative analysis of monthly savings

This part highlights the comparison between monthly savings of women entrepreneurs before and after becoming entrepreneurs using paired sample T-Test.

Table 4.8: comparison of monthly mean savings

Paired Samples Statistics
		Mean	N	Std. Deviation	Std. Error Mean
Pair 1	Monthly savings before becoming entrepreneur	35800.00	60	56760.215	7327.712
	Monthly savings after becoming entrepreneur	186300.00	60	197388.570	25482.755

The table 4.11above show that the mean monthly savings of women entrepreneurs before becoming entrepreneurs was 35,800 Rfw and after becoming entrepreneurs it shifted and become 186,300 Rfr which represents an increase of 420%

Table4.9: Test about mean monthly savings

Paired Samples Test
		Paired Differences					t	df	Sig. (2-tailed)
		Mean	Std. Deviation	Std. Error Mean	95% Confidence Interval of the Difference
					Lower	Upper
Pair 1	Monthly savings before becoming entrepreneur - Monthly savings after becoming entrepreneur	-1.505E5	1.688E5	2.179E4	-1.941E5	-1.069E5	-6.908	59	.000

Table 4.13 indicates that the mean monthly savings of women entrepreneurs before and after becoming entrepreneurs differ. we reject null hypothesis at 95% which states that the mean monthly savings before becoming entrepreneur equal mean savings after becoming entrepreneurs since p-value is 0.000<0.05. It is evident that being entrepreneurs has helped women to increase their monthly savings. The figure below help to compare monthly savings before and after becoming entrepreneurs.

Figure 4.6 Mean monthly savings before and after becoming entrepreneurs

Source: Primary data excel analysis

As indicated in figure4.6 the maximum monthly savings before being entrepreneurs was 220,000 and the mean was 35,800.After becoming entrepreneurs their monthly savings has increased the maximum monthly savings become 900,000 Rfw and the mean become 186,300 Rfw.

It is evident that women entrepreneurs contribute to the development through their savings, which according to monetary theory savings foster investments and contribute to capital accumulation of the country.

4.3.5.2 Comparative analysis of monthly expenditures

Women entrepreneurs have various expenses which help the researcher to compare their monthly expenses before and after becoming entrepreneurs. This analysis show how being entrepreneur has affected their expenses using paired-sample t test.

Table 4.10: comparison of mean monthly expenditures

Paired Samples Statistics
		Mean	N	Std. Deviation	Std. Error Mean
Pair 1	Before being entrepreneur	47363.3333	60	46177.05780	5961.43253
	After being entrepreneur	108150.0000	60	83368.25088	10762.79491

The table4.13 above show how the mean monthly expenditure has increased after becoming entrepreneurs. Before becoming entrepreneurs the mean expenditure was 47,363 Rfw and it become 108,150 Rfw after becoming entrepreneurs which represent an increase of 128%.

Table 4.11: Test about mean monthly expenditure

Paired Samples Test
		Paired Differences					t	df	Sig. (2-tailed)
		Mean	Std. Deviation	Std. Error Mean	95% Confidence Interval of the Difference
					Lower	Upper
Pair 1	Before being entrepreneur After being entrepreneur	-6.07867E4	5.44037E4	7.02349E3	-7.48406E4	-46732.70402	-8.655E0	59	.000

The table 4.14 above indicates that the mean monthly expenditures of women entrepreneur before and after becoming entrepreneurs differ. We reject null hypothesis which states that mean monthly expenditure before and after becoming entrepreneur are equal, since at 95% confidence interval the p-value is 0.00<0.05 alpha value.

In a country's economic wellbeing expenditures create wealth for a country because it is an income for business, transport, agriculture etc. The result indicates that being entrepreneurs had a positive impact on expenditure patterns.