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Number of Equal variances 222 .637 -6.1 399 .000 -8.531 1.381 -11.246 -5.816 hrs assumed 78 spouse Equal variances -6.0 319.90 .000 -8.531 1.405 -11.296
Number of Equal variances 222 .637 -6.1 399 .000 -8.531 1.381 -11.246 -5.816 hrs assumed 78 spouse Equal variances -6.0 319.90 .000 -8.531 1.405 -11.296 5.766 worked not assumed 70 0 last week a. Write the null and research hypotheses (using symbols). (1pt) b. Give the t and p-values (which one do you use based on Levene's test). (1pt) c. Decision: Do you reject or fail to reject the null? (1pt) d. What do you conclude? Write in sentence form. (1 pt) 4. I investigate the relationship between socioeconomic status (class) and subjective rating of one's health. Based on the table, answer the questions that follow. CONDITION OF HEALTH * SUBJECTIVE CLASS IDENTIFICATION Crosstabulation SUBJECTIVE CLASS IDENTIFICATION LOWER WORKING MIDDLE UPPER CLASS CLASS CLASS CLASS Total CONDITION OF EXCELLE Count 14 78 122 7 221 5HEALTH NT % within 15.6% SUBJECTIVE CLASS IDENTIFICATION GOOD Count 30 % within 33.3% SUBJECTIVE CLASS IDENTIFICATION FAIR Count 24 % within 26.7% SUBJECTIVE CLASS IDENTIFICATION POOR Count 22 % within 24.4% SUBJECTIVE CLASS IDENTIFICATION Total Count 90 % within 100.0% SUBJECTIVE CLASS IDENTIFICATION Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square 81 .875a 9 .000 Likelihood Ratio 68.835 9 .000 LinearbyLinear 48.714 1 .000 Association N of Valid Cases 986 a. 1 cells (6.3%) have expected count less than 5. The minimum expected count is 1.79. 17.3% 222 49.2% 126 27.9% 25 5.5% 451 100.0% 29.1% 208 49.6% 68 16.2% 21 5.0% 419 100.0% 26.9% 16 61.5% 11.5% 0.0% 26 100.0% 22.4% 476 48.3% 221 22.4% 68 6.9% 986 100.0 % a. Which variable is the dependent variable? Independent variable? (lpt) b. Write the null and research hypotheses (2pts) C. Give the Chi-Square and p-value (lpt) d. Do you reject or fail to reject the null? What conclusions can you draw? (2pts) 5. Here we explore the relationship between the number of siblings a respondent has and the number of hours spent on e-mail per week. Answer the questions below related to the graph
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