document.write( "Question 1185790: A new weight-reducing technique,consisting of a liquid protein diet, currently tests by the food and Drug Administration (FDA) before it's introduction into the market. The weights of a random sample of five people are recorded before they are introduced to the liquid protein diet. The five individuals are then instructed to follow the liquid protein diet for 3 weeks. At the end of this period, their weights (in pounds) are again recorded. The results are listed in the table. Let sample mean 1 be true mean weight of individuals before starting the diet and let sample mean 1 be the true mean weight of individuals after 3 weeks on the diet.
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document.write( " 1. 2. 3. 4. 5
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document.write( "Weight before diet. 156. 201. 194. 203. 210.
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document.write( "Weight after diet. 149. 196. 191. 197. 206. \r
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document.write( "Given that SD = 1.58, test to determine if the diet is effective at reducing weight. Use alpha =0.1 \n" );
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Algebra.Com's Answer #849612 by CPhill(1959)![]() ![]() You can put this solution on YOUR website! This is a *paired* t-test because we have measurements from the same individuals before and after the diet. This pairing is crucial because it accounts for individual differences in weight.\r \n" ); document.write( "\n" ); document.write( "Here's how to conduct the paired t-test:\r \n" ); document.write( "\n" ); document.write( "1. **Calculate the Differences:** Find the difference (d) between the \"before\" and \"after\" weights for each person. d = weight_before - weight_after\r \n" ); document.write( "\n" ); document.write( " ``` \n" ); document.write( " Person | Before | After | Difference (d) \n" ); document.write( " -------|--------|-------|--------------- \n" ); document.write( " 1 | 156 | 149 | 7 \n" ); document.write( " 2 | 201 | 196 | 5 \n" ); document.write( " 3 | 194 | 191 | 3 \n" ); document.write( " 4 | 203 | 197 | 6 \n" ); document.write( " 5 | 210 | 206 | 4 \n" ); document.write( " ```\r \n" ); document.write( "\n" ); document.write( "2. **Calculate the Mean Difference (d̄):**\r \n" ); document.write( "\n" ); document.write( " ``` \n" ); document.write( " d̄ = (7 + 5 + 3 + 6 + 4) / 5 = 25 / 5 = 5 \n" ); document.write( " ```\r \n" ); document.write( "\n" ); document.write( "3. **Calculate the Standard Deviation of the Differences (sd):** You've already provided this: sd = 1.58\r \n" ); document.write( "\n" ); document.write( "4. **Hypotheses:**\r \n" ); document.write( "\n" ); document.write( " * **Null Hypothesis (H0):** The diet is *not* effective at reducing weight (the mean difference is zero or positive). μd ≥ 0 \n" ); document.write( " * **Alternative Hypothesis (H1):** The diet *is* effective at reducing weight (the mean difference is negative). μd < 0 (This is a left-tailed test).\r \n" ); document.write( "\n" ); document.write( "5. **Significance Level (alpha):** α = 0.1\r \n" ); document.write( "\n" ); document.write( "6. **Test Statistic:**\r \n" ); document.write( "\n" ); document.write( " ``` \n" ); document.write( " t = (d̄ - μd) / (sd / √n) \n" ); document.write( " t = (5 - 0) / (1.58 / √5) \n" ); document.write( " t = 5 / 0.707 \n" ); document.write( " t ≈ 7.07 \n" ); document.write( " ```\r \n" ); document.write( "\n" ); document.write( "7. **Degrees of Freedom:** df = n - 1 = 5 - 1 = 4\r \n" ); document.write( "\n" ); document.write( "8. **Critical Value:** For a one-tailed (left-tailed) t-test with α = 0.1 and df = 4, the critical value is approximately -1.476 (you would look this up in a t-table or use a calculator).\r \n" ); document.write( "\n" ); document.write( "9. **Decision Rule:** Reject H0 if the calculated t-statistic is less than the critical value.\r \n" ); document.write( "\n" ); document.write( "10. **Conclusion:**\r \n" ); document.write( "\n" ); document.write( "The calculated t-statistic (7.07) is *much greater* than the critical value (-1.476). Even though it is a left-tailed test, the value is so far in the *right tail* that we can automatically reject the null hypothesis.\r \n" ); document.write( "\n" ); document.write( "**Interpretation:**\r \n" ); document.write( "\n" ); document.write( "At a 10% significance level, there is *very strong* evidence to conclude that the liquid protein diet is effective at reducing weight. The very large t-value and correspondingly small p-value strongly suggest that the observed weight loss is not due to random chance. \n" ); document.write( " \n" ); document.write( " |