The Impact of Television Viewing on British Children

Introduction

Television has become an integral part of the lives of children around the world. It is not surprising that children in America spend a significant amount of time watching TV each day. However, it is important to understand if British children are statistically different from their American counterparts in terms of TV viewing habits. In this essay, we will conduct a one sample t-test to analyze the data and draw meaningful conclusions.

1. One Sample t-test: The Most Appropriate Technique

A one sample t-test is the most appropriate technique to test the example because we have a sample of British children and want to compare their TV viewing habits to a known average (196 minutes) of American children. The one sample t-test allows us to determine if there is a significant difference between the mean of our sample and the known population mean.

2. Null and Alternate Hypotheses

The null hypothesis (H0) states that there is no significant difference between the mean TV viewing time of British children and the known average of American children (196 minutes).

The alternate hypothesis (H1) states that there is a significant difference between the mean TV viewing time of British children and the known average of American children (196 minutes).

3. Conducting a One Sample t-test Using SPSS

To conduct a one sample t-test using SPSS, we will utilize the provided data set, “Assignment 4 data one sample ttest.sav”. In the One Sample t Test dialogue box, we will set the test value as 196 minutes.

4. Mean Number of Minutes Watched per Night

The mean number of minutes watched per night by British children can be calculated using the provided data set.

5. t Statistic

The t statistic measures the difference between the sample mean and the known population mean, while taking into account the variability within the sample. We will calculate the t statistic using the data set.

6. p-value or Significance

The p-value represents the probability of obtaining a result as extreme as the observed outcome, assuming that the null hypothesis is true. We will calculate the p-value using the data set.

7. Findings and Interpretation

After conducting the one sample t-test and analyzing the results, we can discuss the findings in relation to the null and alternate hypotheses.

Morgan et al. (2002) states that if the p-value is less than or equal to the predetermined significance level (e.g., 0.05), we reject the null hypothesis and conclude that there is a significant difference between the mean TV viewing time of British children and American children.

On the other hand, if the p-value is greater than the predetermined significance level, we fail to reject the null hypothesis, indicating that there is no significant difference between the mean TV viewing time of British children and American children.

By using these guidelines provided by Morgan et al., we will interpret our findings and draw conclusions about whether British children’s TV viewing habits differ significantly from their American counterparts.

In conclusion, conducting a one sample t-test will provide valuable insights into whether British children’s TV viewing habits are statistically different from American children. The results will contribute to our understanding of how television impacts children’s lives and help shape future research and interventions aimed at promoting healthy media consumption among young individuals.