Brilliant Answer
Respond to one of the colleague’s posts and explain how you might see the implications differently.
Alexis
The mean age for the respondents is 48.62. Confidence intervals are an estimated range of values that is likely to include an unknown population parameter (Yale University, 1997). Sometimes, not all the time, these random intervals cover the true population parameter. The width of a confidence interval will be smaller when there is a larger sample size. The width of the confidence interval will be larger when the overall population has a larger standard deviation. Also, the width of the confidence interval will be larger when the confidence level is higher. Due to confidence intervals being underutilized, confidence intervals should be included whenever a sample statistic such as a mean is presented as an estimate of the population parameter. Also, confidence intervals should be provided in addition to statistical significance for the hypothesis test. The data results of family income in constant $ shows that the increase in the sample size decreases the confidence interval's width, which means there was a reduction in the margin of error.
|
Statistics |
||
|
AGE OF RESPONDENT |
||
|
N |
Valid |
508 |
|
|
Missing |
2 |
|
Mean |
48.62 |
|
|
Median |
48.00 |
|
|
Mode |
38a |
|
|
Range |
70 |
|
|
Minimum |
19 |
|
|
Maximum |
89 |
|
|
|
The data below is the sample size of 100 and the CI of 90 % and 95%
|
One-Sample Test |
||||||
|
|
Test Value = 100 |
|||||
|
|
t |
df |
Sig. (2-tailed) |
Mean Difference |
95% Confidence Interval of the Difference |
|
|
|
|
|
|
|
Lower |
Upper |
|
FAMILY INCOME IN CONSTANT $ |
21.256 |
469 |
.000 |
27240.207 |
24722.01 |
29758.41 |
|
One-Sample Test |
||||||
|
|
Test Value = 100 |
|||||
|
|
t |
df |
Sig. (2-tailed) |
Mean Difference |
90% Confidence Interval of the Difference |
|
|
|
|
|
|
|
Lower |
Upper |
|
FAMILY INCOME IN CONSTANT $ |
21.256 |
469 |
.000 |
27240.207 |
25128.15 |
29352.26 |
The data below is the sample size of 400 and the CI of 90 % and 95%
|
One-Sample Test |
||||||
|
|
Test Value = 400 |
|||||
|
|
t |
df |
Sig. (2-tailed) |
Mean Difference |
95% Confidence Interval of the Difference |
|
|
|
|
|
|
|
Lower |
Upper |
|
FAMILY INCOME IN CONSTANT $ |
21.022 |
469 |
.000 |
26940.207 |
24422.01 |
29458.41 |
|
One-Sample Test |
||||||
|
|
Test Value = 400 |
|||||
|
|
t |
df |
Sig. (2-tailed) |
Mean Difference |
90% Confidence Interval of the Difference |
|
|
|
|
|
|
|
Lower |
Upper |
|
FAMILY INCOME IN CONSTANT $ |
21.022 |
469 |
.000 |
26940.207 |
24828.15 |
29052.26 |
Yale University. (1997). Confidence Intervals. Retrieved December 24, 2020, from http://www.stat.yale.edu/Courses/1997-98/101/confint.htm
LaTonya
The variable or population, the total set of individuals, objects, groups, or events in which the researcher is interested (Frankfort-Nachmias et. al, 2020 p.179) reviewed for the assignment is family income in constant$. The mean age for the respondents is 48.5. The data below is the sample size 100 with a 90% and 95% confidence interval (CI), a range of values defined by the confidence level within which the population parameter is estimated to fall (Frankfort-Nachmias et. al, 2020, p.212) is below.
|
Descriptives |
||||
|
|
Statistic |
|
||
|
FAMILY INCOME IN CONSTANT $ |
Mean |
27664.74 |
|
|
|
|
90% Confidence Interval for Mean |
Lower Bound |
23037.63 |
|
|
|
|
Upper Bound |
32291.84 |
|
|
Descriptives |
||||
|
|
Statistic |
|
||
|
FAMILY INCOME IN CONSTANT $ |
Mean |
27664.74 |
|
|
|
|
95% Confidence Interval for Mean |
Lower Bound |
22134.17 |
|
|
|
|
Upper Bound |
33195.31 |
|
The data below is the sample size of 400 and the CI of 90 % and 95%
|
Descriptives |
||||
|
|
Statistic |
|
||
|
FAMILY INCOME IN CONSTANT $ |
Mean |
27568.28 |
|
|
|
|
90% Confidence Interval for Mean |
Lower Bound |
25097.78 |
|
|
|
|
Upper Bound |
30038.78 |
|
|
Descriptives |
||||
|
|
Statistic |
|
||
|
FAMILY INCOME IN CONSTANT $ |
Mean |
27568.28 |
|
|
|
|
95% Confidence Interval for Mean |
Lower Bound |
24622.21 |
|
|
|
|
Upper Bound |
30514.35 |
|
The results of the sample of 100 with CI 90 % and 95%
Upper $32,291.84 $33,195.31
Lower $23,037.63 $22,134.17
Width $9,254.21 $11,061.14
The results of the sample of 400 with CI 90% and 95%
Upper $30,038.78 $30,514.35
Lower $25,097.78 $24,622.21
Width $4,941 $5,892.41
The results of data show the increase in the sample size reduces the width of the CI, which means the CI is more precise, or the reduction of our margin of error. The population’s family income will fall between the upper and lower.
Reference
Frankfort_Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society
(9th ed.). Thousand Oaks, CA: Sage Publications.