Confidence Interval The quantitative variable of interest chosen for this discus

Confidence Interval
The quantitative variable of interest chosen for this discussion is the continuous variable “Highest Year of school completed”. This variable has been calculated, measured and analyzed by using the SPSS as statistical toll to see the trends and the differences when the confidence interval changes from 90% to 95%, as well as the size of sample change (100 and 400).
Random sample of 100
The confidence interval of the 100 sample of the total population (2538) responded to this data at: 
90% is 13.20 for the Lower Bound and 14.24 for the upper Bound (figure 2).
95% is 12.83 for the Lower Bound and 14.11 for the upper Bound (figure 3).
The mean of 100 sample of this variable at 90% of confidence interval is 13.72 and at the 95% is 13.47.
The standard deviation of this variable at 90% confidence interval is 3.150, and at 95% of confidence interval is 3.239. 
Figure 1: Random sample of 100
Figure 2: 90% confidence interval of 100 random sample.
Figure 3: 95% confidence interval of 100 random sample.
Random sample of 400
The confidence interval of the 400 sample of the total population (2538) responded to this data at: 
90% is 13.58 for the Lower Bound and 14.08 for the upper Bound (figure 6).
95% is 13.54 for the Lower Bound and 14.11 for the upper Bound (figure 5).
The mean of 400 sample of this variable at both 90% and 95% of confidence intervals is 13.83. The standard deviation of this variable at 90% and 95% of confidence intervals is 2.983.
Figure 4:  Random sample of 400
Figure 5: 95% confidence interval of 400 random sample.
Figure 6: 90% confidence interval of 400 random sample.
Based on the descriptive statistics of the chosen variable for this discussion, and all figures presented in this page, the confidence interval knows some very minimal changes and is impacted by the size of the sample and the confidence interval levels (90% and 95%). Also I noticed that the confidence interval at 95% for upper bound 14.11 remained the same. When the random sample increased from 100 to 400, the standard deviation decreased from 3.150 at 90% and 3.239 at 95% to 2.983.
Regarding the statement, “Confidence intervals are underutilized”, majority of student or professionals do not take into account the sample size of the population or they misuse it. Sample size estimation is based on scientific calculation and confidence level to obtain or achieve a certain level of confidence and accuracy of the data that represents the reality or describe the studied subject in a concrete manner. The implications that may occur when not using the confidence intervals will be related to validity and reliability of the research and data presented, witch may raise lot of questions of the integrity of the researcher.
Note: I am attaching the response for this discussion in word document in case the table are not shown in this discussion space.
Reference
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2011). Social statistics for a diverse society (6th ed). Thousand Oaks, CA: Sage Publications. 
Wagner, W. E. (2016). Using IBM SPSS Statistics for research methods and social science statistics  (6th ed.). Thousand Oaks, CA: Sage Publications.

Published

Leave a comment

Your email address will not be published. Required fields are marked *