Question

A researcher wants to examine the impact of internet use on heart rate. Students are asked how much they used the internet the hour prior to beginning the study and then grouped into three categories( 31-60 minutes per hour, 1-30 minutes per hour, and no internet use.) The researcher then measured their heartbeat per minute. Assume a two-tailed test and .05 level of significance.

Time	N	Mean	Standard Deviation
31-60 mins	10	66.00	9.66092
1-30 mins	10	54.00	8.43274
no internet	10	59.00	7.37865
Total	30	59.6667	9.64305

​

	Sum of Squares	df	Mean Square	F	Sig.
Between Groups	726.667	2	363.333	4.980	.014
Within Groups	1970.00	27	72.963
Total	2969.667	29

Eta-squared: .269

a) Based on the data, write up a results section. Answer should include type of analysis, variable means and standard deviations, results, significance, and effect size.

b) What are the practical implications of the results reported in the previous question? How would you interpret these results? Consider what might impact these results or what type of study could be done next.

Answer 1

a) Result section- A two-tailed anova was done to anayse the data as there were three groups. Anova test basically assess anaysis on more than two groups.

Variables here were- usage time hour of each group and heart rate.

From the descriptives it can be seen that the first group (31 minutes to 6o minutes) had the highest mean and standard deviation (n=10, M=66.00 and S.D= 9.66092). Following it is the second group (n= , M=, S.D.= ) and teh third group have the least mean and standard deviation  (n= , M=, S.D.= ) . The total mean and standard deviation of the group is  (N= , M=, S.D.= )

From table 2, we can see that the results are significant at .05 level and therefore, we would reject the null hypothesis stating that there is no significant relationship between internet use and heart rate; and accet the alternate hypothesis stating that there is a significant relationship between heart rate and internet use (F= 4.980, p= 0.14 which is p<0.05; df = 27,2, ) as the significant avlue is less than 0.05, therefore we accept the alternate hypothesis.

Effect size = 0.269 reveal that internet usage has 26.9% significant effect on the heart rate of the individual.

b) Practical implications can be that people can now reduce their interenet use to lower their heart beat. Even high heart beats can produce heart attacks , therefore this tsudy can provide an influential result in medical science.

(Interpretation of results are already done in the first part)

Another study to further explore the problem can be done on finding out other factors that affect the heart beat as internet usage has only 26.9% effect