- Children’s Television-watching Habits
- Mode Identification and Interpretation
The first section involves analyzing data from the Los Angeles Family and Neighborhood Survey (LAFANS) to understand the television-watching habits of 3- to 5-year-olds. It includes the identification and interpretation of the mode, calculation and interpretation of the mean, median, range, standard deviation, and coefficient of variation.
- Mode: The mode is identified as two hours, indicating that this is the most common duration for children aged 3 to 5 to watch television or videos on a typical weekday.
- Mean: The mean is calculated as 2.47 hours, showing that, on average, children in the sample spend 2.47 hours watching television or videos on a typical weekday.
- Median: The median is computed as 2.59 hours, meaning that 50% of the sample spends 2.59 hours or less watching television or videos on a typical weekday.
- Range: The range is calculated as 20 hours, indicating that the data spans a range of 20 hours, from 0 to 20.
- Standard Deviation: The standard deviation is calculated as 1.96 hours, showing the average deviation from the mean, which is 2.47 hours, for the time spent watching television by 3- to 5-year-olds in the sample.
- Coefficient of Variation: The coefficient of variation is found to be 0.79, which indicates that the standard deviation is 79% of the mean time spent watching television by the children in the sample.
The second section concerns the U.S. General Social Survey in 2021, specifically dealing with respondents' email usage. The data was originally collected in a varied format, combining hours and minutes. The report explains a data transformation code to create a unified variable, "EMAILHRS1," for measuring email frequency. It then inspects the frequency distributions of the original "EMAILHR" variable and the transformed "EMAILHRS1" variable.
- Code Explanation
- The code computes the time spent on email by respondents, combining responses in minutes and hours to create a single variable, "EMAILHRS1."
- The frequency distributions of "emailhr" and "emailhrs1" are compared, highlighting the differences. "emailhrs1" has more meaningful scores (N = 2,527) because it accounts for decimal values, making it more accurate in cases where respondents spend less than one hour on email.
- Using SPSS's frequency function, the assignment instructs to generate statistics such as minimum, maximum, range, mode, mean, median, quartiles, and standard deviation, although it suggests not displaying frequency tables.
- The interpretation of the statistics includes details about the mean (6.41 hours), standard deviation (9.49 hours), mode (1 hour), range (75 hours), quartiles, and how much time respondents spend on email activities.
- The coefficient of variation is calculated as 1.48, indicating that the standard deviation is 148% of the mean time spent on email by respondents.