provide insight and explanation of these table ? 2.2.1 Analysis #1: Independent T-test Level of Health Consciousness

provide insight and explanation of these table ?

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2.2.1 Analysis #1: Independent T-test Level of Health Consciousness Male Female n = 137 Mean = 5.528 n = 135 Mean = 5.380 Std Dev. = 0.7684 Std Dev. 1.0018 Table 1: Level of Health Consciousness in Males vs Females (Independent Samples T-test) 2.2.2 Analysis #2: Independent T-test Susceptibility to Social Norms T-value Millennials 1.366 A t-test is a statistical test that is used to determine whether there is a significant difference between the means of two groups. The mean scores for males (M = 5.528) and females (M = 5.380) did not differ, as t(270) = 1.366, and p = 0.173. This result therefore suggests that there are no differences between the Level of Health Consciousness present in both genders. T-value P-value Generation X n = 42 n = 192 Mean = 3.3307 Mean = 2.4881 Std Dev. = 1.59644 Std Dev. = 1.44352 Table 2: Susceptibility to Social Norms in Generation X vs Millennials (Independent Samples T-test) 0.173 -3.361 P-value <0.001 A t-test is a statistical test that is used to compare the means and variances of two groups and calculate a t-value, which is used to determine the level of significance of the difference between the means. In the susceptibility to social norms, mean scores for those in Gen X (M = 2.4881) and those belonging to the Millennials (M = 3.3307) indicates that there is a significant difference between the means of both groups, as t(232) = -3.361, and p = <0.001. This result suggests that the difference in means of both variables is unlikely to have occurred by chance. Furthermore, it means that the results are statistically significant, and a rejection of the null hypothesis as it falls below the 0.05 threshold. 2.2.1 Analysis #1: Independent T-test Level of Health Consciousness Male Female n = 137 Mean = 5.528 n = 135 Mean = 5.380 Std Dev. = 0.7684 Std Dev. 1.0018 Table 1: Level of Health Consciousness in Males vs Females (Independent Samples T-test) 2.2.2 Analysis #2: Independent T-test Susceptibility to Social Norms T-value Millennials 1.366 A t-test is a statistical test that is used to determine whether there is a significant difference between the means of two groups. The mean scores for males (M = 5.528) and females (M = 5.380) did not differ, as t(270) = 1.366, and p = 0.173. This result therefore suggests that there are no differences between the Level of Health Consciousness present in both genders. T-value P-value Generation X n = 42 n = 192 Mean = 3.3307 Mean = 2.4881 Std Dev. = 1.59644 Std Dev. = 1.44352 Table 2: Susceptibility to Social Norms in Generation X vs Millennials (Independent Samples T-test) 0.173 -3.361 P-value <0.001 A t-test is a statistical test that is used to compare the means and variances of two groups and calculate a t-value, which is used to determine the level of significance of the difference between the means. In the susceptibility to social norms, mean scores for those in Gen X (M = 2.4881) and those belonging to the Millennials (M = 3.3307) indicates that there is a significant difference between the means of both groups, as t(232) = -3.361, and p = <0.001. This result suggests that the difference in means of both variables is unlikely to have occurred by chance. Furthermore, it means that the results are statistically significant, and a rejection of the null hypothesis as it falls below the 0.05 threshold.