Part 1: The Relationship Between Music Type and Giving Out Phone Numbers
Problem Description:
In this Jamovi assignment, we investigate the association between the type of music played and the likelihood of people sharing their phone numbers with someone they've recently met. The study involves two categories of music: Romantic Music and Neutral Music. The data collected provides insights into whether the type of music influences individuals' willingness to give out their phone numbers.
Solution for Part 1:
The expected frequency table for this analysis was generated using Jamovi. The observed (expected) table is presented below:
| Gave Phone Number | Did Not Give Number | Total | |
|---|---|---|---|
| Romantic Music | 23 (16) | 17 (24) | 40 |
| Neutral Music | 9 (16) | 31 (24) | 40 |
| Total | 32 | 48 | 80 |
We used a Chi-squared test to examine the association between romantic music and the likelihood of people sharing their phone numbers. In the sample, there were 40 instances of romantic music and 40 instances of neutral music. Out of the 40 instances of romantic music, 23 individuals (57.5%) shared their phone numbers. In contrast, out of the 40 instances of neutral music, only 9 individuals (22.5%) shared their phone numbers.
The chi-squared test of association yielded a statistically significant result: χ² (1) = 10.2, p = .001. Based on this significant result, we reject the null hypothesis, which suggested no association between music type and the likelihood of people giving out their phone numbers.
The Cramer's V statistic for the test is 0.357, which falls within the range considered a medium strength of association (>0.3). Therefore, it is evident that there is a medium-strength association between the type of music and the likelihood of people sharing their phone numbers. This insight can be valuable in appropriate settings, such as attracting singles or helping individuals find friends or dates.
Part 2: Gender and Willingness to Seek Mental Health Assistance
Problem Description:
In Part 2 of the assignment, we explore the relationship between gender and individuals' willingness to seek mental health assistance. The study assesses two groups: males and females, and aims to determine if there are any gender-based preferences when it comes to seeking mental health support.
Solution for Part 2:
The expected frequency table for this analysis was generated using Jamovi. The observed (expected) table is presented below:
| Probably No (Expected) | Maybe (Expected) | Probably Yes (Expected) | Sub Total | |
|---|---|---|---|---|
| Males | 9 (6.2) | 16 (15.3) | 6 (9.51) | 31 |
| Females | 6 (8.8) | 21 (21.7) | 17 (13.49) | 44 |
| Sub Total | 15 | 37 | 23 | 75 |
We conducted a Chi-squared test to evaluate the association between gender and the willingness to seek mental health assistance. In the sample, there were 31 males and 44 females. Among the 31 males, 9 (29%) expressed that they were probably not willing to use mental health services, and 16 (51.6%) indicated "maybe." On the other hand, out of the 44 females, 6 (13.6%) reported they would probably not be willing to use mental health services, and 21 indicated "maybe."
The chi-squared test of association resulted in a statistically insignificant outcome: χ² (2) = 4.42, p = .110. Based on this result, we do not reject the null hypothesis, suggesting no association between gender and the willingness to seek mental health assistance.
The Cramer's V statistic for this test is 0.236, indicating a weak strength of association between the two variables. Therefore, from this study, we can conclude that there is no significant difference in the willingness to seek mental health assistance between males and females. This insight suggests that gender does not play a significant role in individuals' preferences regarding mental health support.