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Nov 24, 2024

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Please help me learn how to answer these questions and if I have the right data. Also please help create a clustered column chart on number 5 in excel. If I messed up in the type of chart needed lmk. Problems marked in red is the ones I’m having problems with. Help find the answer. Use the codebook below for reference.
1. Conduct a Paired Samples test comparing the personal values of Fun and Security. Provide a copy of this analysis. Must provide all sections of the SPSS analysis.
2. According to the Paired Samples test conducted in (1), provide an interpretation of the results of the Paired Samples test in complete sentences. The interpretation should identify whether the results of the Paired Samples test is significant and how the personal values of Fun and Security compare. For Help: Interpretation: Reading from left to right: The first column gives us fun and security pair of variables being tested, and the order the subtraction was carried out. The mean average difference between the two variables is -.712. The standard deviation of the difference fun and security scores is 1.677. Standard error mean, which is the standard deviation divided by the square root of the sample size; used in computing both the fun and security statistic and the upper and lower bounds of the confidence interval are .095 and .099.
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The test statistic (denoted t ) for the paired T test is -5.132 The degrees of freedom (df) for this test is 145. Sig. (2-tailed) , which is also the p -value corresponding to the given test statistic t with degrees of freedom df is <0.001. DECISION AND CONCLUSIONS From the results, we can say that: Fun and Security scores were strongly and negatively correlated ( r = -0.30, p < 0.001). There was a significant average difference between English and Math scores ( t 397 = -5.132, p < 0.001). On average, Security values were 71 percent higher than Fun scores (85% CI [.14, .85]). 3. Conduct an Independent Samples test to compare whether the average importance rating of any of the "personal values" differ by gender of the respondent. Provide a copy of this analysis. Must provide all sections of the SPSS analysis.
Overall, the importance of professional values from the respondents' perspectives was high (113.1 ± 13.1), with no significant differences between genders ( p =0.102,. Nearly, all respondents rated professional values as very important (197 (80.4%)) and only 11 (4.5%) as medium important. There were significant differences between year levels with year 1 and year 4 respondents (115.9 and 114.2, respectively) reporting significantly higher levels of importance of professional values than years 2 and 3 (112.8 and 109.6, respectively, K = 11.1, p =0.025). In terms of the professional values, trust (4.46 ± 0.61), justice (4.39 ± 0.57),
and caring (4.38 ± 0.55) were rated significantly higher than professionalism (4.23 ± 0.64) and activism (4.22 ± 0.57) 4. According the Independent Samples test conducted in (3), provide an answer to each of these questions in complete sentences. (a) Identify which personal values (if any) that women have an average rating that is statistically greater than the average rating of men. In general, the respondents regarded professional values as highly important (113.1 ± 13.1), with no statistically significant variations seen across genders (p=0.102,). The majority of respondents (80.4%) evaluated professional values as highly significant, whereas a small proportion (4.5%) considered them to be of moderate importance. (b) Identify which personal values (if any) that men have an average rating that is statistically greater than the average rating of women. There were notable disparities seen among different year levels in terms of the significance placed on professional values. Specifically, respondents from year 1 and year 4 reported considerably greater levels of importance (115.9 and 114.2, respectively) compared to respondents from years 2 and 3 (112.8 and 109.6, respectively). This difference was statistically significant, with a K value of 11.1 and a p-value of 0.025. Regarding the professional values, trust (M = 4.46, SD = 0.61), justice (M = 4.39, SD = 0.57), and caring (M = 4.38, SD = 0.55) received substantially higher ratings compared to professionalism (M = 4.23, SD = 0.64) and activism (M = 4.22, SD = 0.57). 5. Based on the results of (3 and 4), create a clustered column chart visualizing the mean values of personal values by gender of the respondent. The chart should only include the personal values where the results of the Independent Samples test indicated that there was a statistically significant difference between men and women (i.e., 4a & 4b). The column chart should: (a) include data for only the Personal Values that there was a statistically significant difference between men and women from the results of Independent Samples test (i.e., 4a & 4b); (b) have an appropriate Chart Title for the data it displays, (c) have a clear way to identify which personal values and gender each column represents, (d) have a clear way to provide the value of each column (Data Labels), and (e) use an appropriate axis range based upon the scale that was used (pay attention to the scale the data was measured on). The column chart must be created in Excel. No credit for any SPSS charts. 6. By selecting the appropriate data and using the proper statistical technique for comparisons, answer the following research question: Do any of the "car attributes" show statistically significant differences in their average ratings between American, European, and Japanese car owners? Provide an answer to the research question and provide an interpretation of the results.
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Provide a copy of any analysis you conducted. Must provide all sections of the SPSS analysis. Provide an answer to the research question in complete sentences. Provide an interpretation of the results in complete sentences.