document.write( "Question 1193979: A researcher is investigating the relationship between academic performance and self-esteem. A sample of 150 ten-year old
\n" ); document.write( "children is obtained, and each child is classified by level of academic performance and level of self-esteem. Test at 0.05 level of
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\n" ); document.write( "Level of acad
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\n" ); document.write( "of self esteem. High. Medium. Low
\n" ); document.write( " High 17. 32. 11
\n" ); document.write( " Low. 13. 43. 34
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Algebra.Com's Answer #848542 by parmen(42)\"\" \"About 
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**1. Set up Hypotheses**\r
\n" ); document.write( "\n" ); document.write( "* **Null Hypothesis (H0):** There is no association between academic performance and self-esteem in the population of ten-year-old children.
\n" ); document.write( "* **Alternative Hypothesis (H1):** There is an association between academic performance and self-esteem in the population of ten-year-old children.\r
\n" ); document.write( "\n" ); document.write( "**2. Calculate Expected Frequencies**\r
\n" ); document.write( "\n" ); document.write( "* **Create a table of expected frequencies:**
\n" ); document.write( " | Level of Academic Performance | High Self-Esteem | Medium Self-Esteem | Low Self-Esteem | Row Total |
\n" ); document.write( " |---|---|---|---|---|
\n" ); document.write( " | High | (60*60)/150 = 24 | (60*75)/150 = 30 | (60*15)/150 = 18 | 60 |
\n" ); document.write( " | Low | (90*60)/150 = 36 | (90*75)/150 = 45 | (90*15)/150 = 27 | 90 |
\n" ); document.write( " | Column Total | 60 | 75 | 15 | 150 |\r
\n" ); document.write( "\n" ); document.write( "* **Where:**
\n" ); document.write( " * Row Total: Total number of children in each academic performance level.
\n" ); document.write( " * Column Total: Total number of children in each self-esteem level.
\n" ); document.write( " * Grand Total: Total number of children in the sample (150).\r
\n" ); document.write( "\n" ); document.write( "**3. Calculate the Chi-Square Test Statistic**\r
\n" ); document.write( "\n" ); document.write( "* **Formula:** χ² = Σ [(O - E)² / E]
\n" ); document.write( " * Where:
\n" ); document.write( " * O = Observed frequency in each cell
\n" ); document.write( " * E = Expected frequency in each cell\r
\n" ); document.write( "\n" ); document.write( "* **Calculate for each cell:**
\n" ); document.write( " * (17-24)²/24 = 2.04
\n" ); document.write( " * (32-30)²/30 = 0.13
\n" ); document.write( " * (11-18)²/18 = 2.72
\n" ); document.write( " * (13-36)²/36 = 12.5
\n" ); document.write( " * (43-45)²/45 = 0.09
\n" ); document.write( " * (34-27)²/27 = 1.70\r
\n" ); document.write( "\n" ); document.write( "* **Sum the values:** χ² = 2.04 + 0.13 + 2.72 + 12.5 + 0.09 + 1.70 = 19.18\r
\n" ); document.write( "\n" ); document.write( "**4. Determine the Degrees of Freedom**\r
\n" ); document.write( "\n" ); document.write( "* Degrees of Freedom (df) = (Number of rows - 1) * (Number of columns - 1) = (2 - 1) * (3 - 1) = 2\r
\n" ); document.write( "\n" ); document.write( "**5. Find the Critical Value**\r
\n" ); document.write( "\n" ); document.write( "* Using a chi-square distribution table, find the critical value for α = 0.05 and df = 2.
\n" ); document.write( "* The critical value is approximately 5.991.\r
\n" ); document.write( "\n" ); document.write( "**6. Make a Decision**\r
\n" ); document.write( "\n" ); document.write( "* **Compare the calculated chi-square statistic to the critical value:**
\n" ); document.write( " * 19.18 > 5.991\r
\n" ); document.write( "\n" ); document.write( "* **Decision:** Since the calculated chi-square statistic (19.18) is greater than the critical value (5.991), we reject the null hypothesis.\r
\n" ); document.write( "\n" ); document.write( "**7. Conclusion**\r
\n" ); document.write( "\n" ); document.write( "* There is sufficient evidence at the 0.05 level of significance to conclude that there is an association between academic performance and self-esteem in the population of ten-year-old children.\r
\n" ); document.write( "\n" ); document.write( "**Note:**\r
\n" ); document.write( "\n" ); document.write( "* This analysis assumes that the expected frequencies in each cell are greater than 5.
\n" ); document.write( "* You can use statistical software (like R or SPSS) to perform the chi-square test for independence more easily and accurately.\r
\n" ); document.write( "\n" ); document.write( "This analysis provides a basic framework for conducting a chi-square test for independence.
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