Confidence Intervals
RSCH 8210/RSCH 7210/RSCH 6210: Quantitative Reasoning and Analysis
Walden University
Hours Watching TV per Day
| Valid | 1669 |
|---|---|
| Missing | 869 |
| Mean | 2.98 |
| Median | 2.00 |
| Mode | 2 |
| Standard Deviation | 2.587 |
| Skewness | 3.142 |
| Std. Error of Skewness | 0.06 |
| Kurtosis | 17.573 |
| Std. Error of Kurtosis | 0.12 |
| Range | 24 |
| Minimum | 0 |
| Maximum | 24 |
| Statistic | Std. Error | |||
| HOURS PER DAY WATCHING TV | Mean | 2.98 | .063 | |
|---|---|---|---|---|
| 95% Confidence Interval for Mean | Lower Bound | 2.86 | ||
| Upper Bound | 3.11 | |||
| 5% Trimmed Mean | 2.70 | |||
| Median | 2.00 | |||
| Variance | 6.695 | |||
| Std. Deviation | 2.587 | |||
| Minimum | 0 | |||
| Maximum | 24 | |||
| Range | 24 | |||
| Interquartile Range | 3 | |||
| Skewness | 3.142 | .060 | ||
| Kurtosis | 17.573 | .120 | ||
How many hours per day are used watching TV. Confidence interval shows 95 or 95% out of 100 people had responded for this study. There are many hours of TV watched per day and the top 3 from the study are 1 hour, 2 hours, and 3 hours. With 2 hours being the top average from study.
References:
Laureate Education (Producer). (2016). Visual displays of data [Video file]. Baltimore, MD: Author.
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.