Download file to see previous pages...
Therefore, there appears a difference in grade for unmotivated, motivated, and highly motivated diploma students that are there is difference in grade based on participation.
The average grade for unmotivated scholarship students (23 to 32 years old) was about 78.89 (SD = 7.59), for motivated scholarship students was about 71.17 (SD = 6.05), and for highly motivated scholarship students was about 76.80 (SD = 7.12). Therefore, there appears that unmotivated and highly motivated scholarship students grade is higher as compared to motivated scholarship students.
The average grade for unmotivated government students (33 and above) was about 62.67 (SD = 4.32), for motivated government students was about 62.56 (SD = 5.03), and for highly motivated government students was about 63.20 (SD = 9.63).
The average grade for diploma students was about 87.85 (SD = 5.66), for scholarship students was about 76.05 (SD = 7.49), and for government students was about 62.75 (SD = 5.93). Therefore, there appears difference in grade among three age groups of students.
The average grade for unmotivated students was about 79.00 (SD = 13.09), for motivated students was about 72.68 (SD = 11.50), and for highly motivated students was about 74.75 (SD = 11.00). Therefore, there appears difference in grade among three motivation (participation) groups of students.
There was a significant main effect of age group on student grade, F(2, 4.06) = 39.92, p =.002, η2 = 0.952. In other words, there is difference in student grade for different age groups. The result indicates a very strong effect of 0.952 as measured by η2.
There was nonsignificant main effect of participation (motivation) on student grade, F(2, 4.02) = 1.77, p =.281, η2 = 0.468. In other words, there is statistically no difference in student grade for different participations
...Download file to see next pagesRead More
Monthly average number of check-ins has the positive impact on the manhours such that for 1 extra man hour, 1.80 check-in are required. The coefficient for weekly hours of service desk opreration is 0.59 which causes an additional manhour. The common use area has a negative impact on the manhours as every 21.48 square feet will reduce one manhour.
A correlation test is the most preferred as it will reveal whether there is a corresponding increase (or decrease) in the number of injuries as compared to the number of hour worked. Regression could also be used in place of correlation as it would show how
There are many social and economic indicators that describe the national growth of a country. Such variables are the unemployment rate, GDP, Inflation rates and disposable household expenditure to name a few.
This data is a time series data where the emissions of pollutants (in thousands of tonnes) have been recorded from 2000 to 2009 from various constructional activities. Pollutants have been categorized into four categories- Greenhouse gases, Acid rain precursors, heavy
Figure 1 illustrates histogram of daytime accidents. Visual inspection shows that the frequency distribution does not have a bell curve shape. The histogram does not have a peak and frequencies are not
4 Pages(1000 words)Statistics Project
GOT A TRICKY QUESTION? RECEIVE AN ANSWER FROM STUDENTS LIKE YOU!
Let us find you another Statistics Project on topic Interpretation of Statistical Tables and Testing Hypotheses for FREE!