← Corporate Leadership Crisis Analysis →

Free Example of The Statistical Analysis Essay

Problem Definition

Hypothesis Tested

Type of assignment
Writer level
Pages
Spacing
Timeframes
Currency
Total price

Main and sub hypotheses are to be tested in the study are as follows:

H1: The personnel think that increase in liquidity risk management does not increase the efficiency and long term of the banks.

HA: The personnel think that increase in liquidity risk management does increase the efficiency and long term of the banks

Analysis and Findings:

Below mentioned table manifested the descriptive statistics demographic of the employees, working in the public organizations. In the survey, employees between the ages of 27-33 are keener towards providing the in-depth and right knowledge relative to the research. Predominantly, most of the participated employees were males.

Variables

Group

Frequency

%

Job Status

Managerial/Subordinate/Supervisors

50

100%

Age

26 and below (Subordinate)

30

60%

27-36 (Supervisors)

12

24%

37 and above (Managers)

08

16%

Gender

Male

38

76%

Female

12

24%

Total

50

100%

The above mentioned table manifested that, total 50 employees have participated in the research by duly filled the questionnaire. Probabilistic frequency revealed that the employees comprises on the age between 26 and below were actively participated in the research as 60% of them filled the questionnaire followed by 27 and above and 37 and above by 24 and 16% respectively.

Analysis of Data

Q-) Are you satisfied with the fact that the stance of Liquidity Risk Management Works?

H1: The personnel think that increase in liquidity risk management does not increase the efficiency and long term of the banks.

HA: The personnel think that increase in liquidity risk management does increase the efficiency and long term of the banks

After fulfilled and compile all the questionnaire, the main prospective is to protracted out a meaningful result from the accumulated data. To do this particular activity in a plausible manner, it is applied contingency test of two variables and analyze and estimate the result.

The researcher wants to gauge the result on the 95% confidence level; it means the result will show the result which is 95% correct, by leave the 5% margin of error in the analysis.

Result of Analysis

It is calculated the value from the contingency statistical table, which is mentioned above manifested a figure of 72.16, which have calculated on the degree of freedom (d.f = 6), at the level of significance @ = 0.05 and consensus that, the estimated result is way beyond the actual result against the statistical Chi-Square table. As per the chi-square statistical table the value on the same degree of freedom is 12.592, so with respect to that it have rejected the null hypothesis, and by contrast accept the alternative hypothesis, because the calculated value lied way beyond the area of the critical region. The result divulges that the perception of the personnel and officials were right. Accepting the alternative hypothesis reveals that the banking industry has envisaged a real bad patch due the current financial constrain and they required a lot of time to get back on their previous momentum. We have statistically proves that increase in liquidity risk management does increase the efficiency and long term of the banks, so the banks must contemplates on the stance of liquidity risk management.

Testimonials