Based on the summary of descriptive statistics result presented in Table

Question

2 below, interpret and briefly discuss the results for each variable (Hit:
Apply measurement concepts of central tendency and dispersion
Table 2: Summary of descriptive statistics results for the variables
Variable Mean Std. Dev. Min. Max.
Perception on Rate of Project
failure 0.576471 0.4970 0 1
Age 39.61176 40.2850 25 75
Gender 0.647059 0.4807 0 1
Education (in years of schooling) 16.64706 1.1922 13 18
Inadequate Fund 0.874118 0.1635 0 1
Low/no community participation 0.647059 0.4807 0 1
Change in government priorities 0.647059 0.7307 0 1
Inadequate human capita capacity 0.748824 0.4769 0 1

Answer 1

1. Perception on Rate of Project Failure: The mean value of 0.576 indicates that, on average, participants perceive a moderate level of project failure. The standard deviation of 0.497 suggests that there is a considerable amount of variability in perceptions, ranging from low to high levels of project failure.

2. Age: The mean age of participants is 39.61176 years, indicating a relatively young sample. The standard deviation of 40.2850 suggests a wide dispersion in age, with participants ranging from 25 to 75 years old.

3. Gender: The mean value of 0.647059 indicates that there is a slightly greater representation of one gender in the sample. The standard deviation of 0.4807 suggests moderate variability in gender representation.

4. Education (in years of schooling): The mean value of 16.64706 indicates that, on average, participants have completed around 16.6 years of schooling. The relatively low standard deviation of 1.1922 suggests little variability in years of education, as most participants fall within the range of 13 to 18 years.

5. Inadequate Fund: The mean value of 0.874118 suggests that the majority of participants perceive inadequate funding for projects. The small standard deviation of 0.1635 indicates low variability in responses, indicating a general consensus among participants.

6. Low/no community participation: The mean value of 0.647059 indicates that community participation in projects is generally perceived to be low or non-existent. The standard deviation of 0.4807 suggests moderate variability in responses, with some participants perceiving higher levels of community involvement.

7. Change in government priorities: The mean value of 0.647059 indicates that participants perceive a moderate level of change in government priorities affecting project outcomes. The high standard deviation of 0.7307 suggests a wide range of perceptions, with some participants perceiving significant changes and others perceiving minimal changes.

8. Inadequate human capital capacity: The mean value of 0.748824 suggests that participants perceive a relatively high level of inadequate human capital capacity in project implementation. The standard deviation of 0.4769 indicates moderate variability in responses, with some participants perceiving higher levels of capacity and others perceiving lower levels.

Overall, the descriptive statistics provide insights into the central tendencies and dispersion of the variables. They suggest that participants generally perceive moderate to high levels of project failure, inadequate funding, low community participation, change in government priorities, and inadequate human capital capacity. However, there is considerable variability in perceptions, indicating the diversity of perspectives within the sample.

Answer 2

The following is a matrix for the correlation results obtained in a study
conducted in one of the Breweries Companies in Tanzania. Based on
the magnitude or strength of association:
(a) Comment on the results
(b) Suggest any two possible solutions (if any) to enable
further data analysis for this study.
Variables Malt Hops Water Yeast Sugar Electricity
Malt 1.0000
Hops -0.2413 1.0000
Water -0.1029 -0.0685 1.0000
Yeast -0.4639 0.9774 -0.3075 1.0000
Sugar -0.2909 0.1504 -0.0641 0.8805 1.0000
Electricity -0.1397 0.1420 -0.1065 0.1353 0.0403 1.0000
Note that malt, hops, water, yeast, sugar and electricity are
independent variables.

Answer 3

(a) Comment on the results:
Based on the correlation matrix, we can observe the following associations between the variables:
- Malt: No significant correlation with any of the variables.
- Hops: Weak negative correlation with water and electricity.
- Water: Weak negative correlations with hops and yeast.
- Yeast: Strong positive correlation with hops and sugar, weak negative correlation with water, and weak negative correlation with electricity.
- Sugar: Strong positive correlation with yeast, weak positive correlation with hops, and weak positive correlation with electricity.
- Electricity: Weak positive correlation with yeast and sugar.

Overall, the associations between the variables are generally weak, with some exceptions. The strongest correlation is observed between yeast and hops, indicating a strong positive association.

(b) Possible solutions to enable further data analysis for this study:
1. Collect more data: The weak correlations observed in the current analysis may be due to a small sample size or limited range of values. Increasing the sample size or collecting data from different breweries could help uncover stronger associations between the variables.

2. Include additional variables: The weak correlations may also be attributed to the exclusion of important variables that could have a stronger relationship with the variables under study. Adding relevant variables, such as temperature, fermentation time, or specific brewing techniques, could potentially reveal stronger associations and provide a more comprehensive analysis.