Hypothesis
Null Hypothesis: There is no significant relationship of gender (males and female) with their motivation
Alternate Hypothesis: There is a significant relationship of gender (males and female) with their motivation
At an alpha level of 0.05 the SPSS output of the data is shown below

Table 1: Case Processing Summary

Cases

Valid
Missing
Total

N
Percent
N
Percent
N
Percent

gender * motivation
40
100.0%
0
.0%
40
100.0%

The table shows 57.5% of the sample are males whereas 42.5% of the sample are females.  12 out of 23 males are highly motivated which is 52.2% of the gender. Apart from that only 10% of the males show no motivation. 10 out of 17 females are highly motivated which is 58.8% of the gender. Only 1 female out of 23 shows no motivation which is 5.95 of the gender. The bar chart shown below also portrays this.

Table 2: gender * motivation Crosstabulation

motivation
Total

no motivation
little motivation
nuteral
somehow high motivation
high motivation

gender
male
Count
4
4
2
1
12
23

% within gender
17.4%
17.4%
8.7%
4.3%
52.2%
100.0%

% within motivation
80.0%
66.7%
40.0%
50.0%
54.5%
57.5%

% of Total
10.0%
10.0%
5.0%
2.5%
30.0%
57.5%

female
Count
1
2
3
1
10
17

% within gender
5.9%
11.8%
17.6%
5.9%
58.8%
100.0%

% within motivation
20.0%
33.3%
60.0%
50.0%
45.5%
42.5%

% of Total
2.5%
5.0%
7.5%
2.5%
25.0%
42.5%

Total
Count
5
6
5
2
22
40

% within gender
12.5%
15.0%
12.5%
5.0%
55.0%
100.0%

% within motivation
100.0%
100.0%
100.0%
100.0%
100.0%
100.0%

% of Total
12.5%
15.0%
12.5%
5.0%
55.0%
100.0%

To determine the significance of relationship between gender and motivation Chi-Square test is conducted and the output is shown below.

Table 3:Chi-Square Tests

Value
df
Asymp. Sig. (2-sided)

Pearson Chi-Square
1.993a
4
.737

Likelihood Ratio
2.087
4
.720

Linear-by-Linear Association
.771
1
.380

N of Valid Cases
40

a. 8 cells (80.0%) have expected count less than 5. The minimum expected count is .85.

The Χ2 Statistic and its associated p (Sig.) value indicate whether to retain or reject the null hypothesis. In this scenario, X2(4) = 1.993, p = .737. Since the p-value is greater than the stated alpha value of 0.05 so we fail to reject our null hypothesis and conclude that here is no significant relationship between gender and a person’s motivation. So one can say that it can be possible that females portrays high motivation or males portrays high motivation irrespective of their gender difference. It0 can be possible that the person’s motivation irrespective of their gender may depend on other factors such as their situational factors, their current leadership and their job position in the organizational hierarchy.

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