# How much time do millennials spend on social media

Document Type:Math Assignment

Subject Area:Statistics

Therefore, the non-millennials believe that the millennials way of life could lead to uncertainty to the natural law of life, as they know it. Millennials have come under sharp criticism on many fronts ranging from the way to prefer online socializing, online shopping and their tendencies to do most of their stuff online. The non-millennials claim that the millennials cannot socialize on a face-to-face front, as the millennials prefer online socializing which eventually could make the millennials miss cues about the behavior or character of a person if it were a face-to-face meeting. The non-millennials also claim that the millennials have trouble expressing themselves which this situation to them unacceptable. The non-millennials believe that this inability to communicate effectively on the traditional face-to-face meeting is a setback to Human Civilization that is on the premise of advanced communication methods between each other.

The researcher had to create a new variable on the dataset to measure the total weekly time an individual spent on the internet. The researcher also had to create a new variable to determine from the respondents who is a millennial and who is not. The Null Hypothesis of the study will be that the average time spent by both genders (millennials) is equal. The Alternative Hypothesis, on the other hand, will be that there are statistically significant differences in the average time spent by both genders (millennials) on the internet. The researcher also has to assume that since there is no direct research question on the total time used on social media by the respondents the researcher had to do with the time spent on electronic mail services by the respondents.

The data used in the survey is Secondary Data. The table below shows the histogram of the total time in minutes spent on the internet by the millennials by gender. Histograms for Male and Female Millennials From the Histograms above by gender of the respondents, the researcher concluded that almost similar number of respondents reported having spent approximately thirty minutes weekly on the internet. The female gender stated most of them spent more than sixty hours on the internet weekly as compared to their male counterparts. The frequency of both genders on those who spent about an hour on the internet is also equal. The average time spent by the female millennials on the internet is 7. minutes. The table below shows whether there is any statistically significant difference in the average time spent on the internet between the two groups.

Table 5 From table 5 assuming the samples genders are from the same population, the researcher with 95 percent confidence failed to reject the Null Hypothesis and consider that there is no statistically significant difference in the average time spent on the internet is not different between the male and female millennials. Thinking that both the genders were from different Populations the researcher still arrived at the same conclusion that there the difference in the average time spent on the internet is between the male and female millennials is not statistically significant. which implies the distribution is very far from the approximated normal distribution. On the other hand the measures on kurtosis and skewness for the plot of the total time spent on the internet by the male millennials is 2. and 6. which implies the distribution is very far from the approximated normal distribution.

The best summary statistics that will best represent the variable is the median value since the data is highly variable (skewed) after analyzing the magnitude of the standard deviation and the variances. This result implies that every time a sample is from the given Population, there is a high probability (0. that the mean of the total time spent on the internet lies between five minutes and approximately ten minutes for the female millennials. The intervals show that the female millennials spend more time socializing on the internet as compared to their male counterparts. The researcher carried out a two independent sample test to determine whether the average time spent on the internet socializing between the two genders are different from each other. Null Hypothesis for this case is that there is no statistically significant difference in the average time spent on the internet between the male and female millennials.

The following table shows the correlation coefficient from the analysis of the above two variables. Correlations Respondent income in constant dollars totalinternet Respondents sex Pearson Correlation Respondent income in constant dollars 1. totalinternet. Respondents sex -. Sig. minutes for the total time spent on the internet socializing and the factor for the gender of the respondent is -13,988. which is not statistically significant). consider a case in which a respondent spends ten hours on the internet socializing, and he is male, then the expected income of the respondent will be given as 56, 803. Consider the table below on the model fit computations. From the table above, the coefficient of determination (R2) is 4 percent. The surprising finding s that there is no difference in the average time spent online socializing on the internet between the genders of the millennials in the study.

The results might be different in case the sample size increases. If the researcher intends to redo the study, he/she needs to ensure that the research question on how much time the millennials spend socializing online appears in the questionnaire to enable analysis of actual responses Reference Frankfort-Nachmias, C. Leon-Guerrero, A. Social Statistics for a Diverse Society.

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