State the conclusion of the problem context: Reject Ho: The data suggests that there is a significant difference between true average stays under the two conditions. Fall to reject Ho: The data does not suggest that there is a significant difference between true average stays under the two conditions. Reject Ho: The data does not suggest that there is a significant difference between true average stays under the two conditions. Fall to reject Ho: The data suggests that there is a significant difference between true average stays under the two conditions. Is the result different from what you conjectured (4)? Does it appear that ICU stay for patients given ventilation treatment is normally distributed? Explain your reasoning. The sample mean length stay minus two standard deviations for patients receiving the treatment days. This value suggests that the length stay for patients receiving the treatment is normally distributed. Estimate the true average length stay for patients given the ventilation treatment in a way that conveys information about precision and reliability: (Use 95% confidence level: Round your answers to two decimal places) two days.
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State the conclusion in the problem context: Reject Ho: The data suggests that there is a significant difference between true average stays under the two conditions. Fail to reject Ho: The data does not suggest that there is a significant difference between true Show more…
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62 46 53 39 82 71 87 6 10 53 60 4 50 76 57 96.67 108.67 112.67 (a) Use analysis H0: Not all the population means are equal. H0: At least two of the population means are equal. Ha: At least two of the population means are different. Find the value of the test statistic. Round your answer to two decimal places. Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. Do not reject H0. There is sufficient evidence to conclude that the means of the three treatments are not equal. Do not reject H0. There is not sufficient evidence to conclude that the means of the three treatments are not equal. (b) Use Fisher's LSD procedure to determine which means are different. Find the value of LSD. (Round your answer to two decimal places.) LSD = Find the difference between sample means for each pair of treatments. Which treatment means differ significantly? (Select all that apply.) There is a significant difference between the means for treatments 1 and 2. There is a significant difference between the means for treatments 2 and 3. There are no significant differences.
Madhur L.
Develop the analysis of variance computations for the following completely randomized design. At α = 0.05, is there a significant difference between the treatment means? State the null and alternative hypotheses. Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) State your conclusion.
Jon S.
An article reported on an experiment in which 120 patients with similar clinical features were randomly divided into a control group and a treatment group, each consisting of 60 patients. The sample mean ICU stay (days) and sample standard deviation for the treatment group were 19.1 and 39.5, respectively, whereas these values for the control group were 13.8 and 15.6. (a) Calculate a point estimate for the difference, in days, between the true average ICU stay for the treatment and control groups. (Use μtreatment - μcontrol.) days Does this estimate suggest that there is a significant difference between true average stays under the two conditions? (b) Answer the question posed in part (a) by carrying out a formal test of hypotheses. (Use a significance level of 0.05.) State the relevant hypotheses. H0: μtreatment - μcontrol = 0 Ha: μtreatment - μcontrol ≠ 0 Calculate the test statistic and P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = P-value = State the conclusion in the problem context. Reject H0. The data suggests that there is a significant difference between true average stays under the two conditions. Is the result different from what you conjectured in part (a)? (c) Does it appear that ICU stay for patients given the ventilation treatment is normally distributed? Explain your reasoning. The sample mean length of stay minus two standard deviations for patients receiving the treatment is days. This value is [equal to/less than/greater than] 0, which is [consistent/inconsistent] with the assumption that the lengths of stay are normally distributed. So, it [seems/appears] that the length of stay for patients receiving the treatment is not normally distributed. (d) Estimate the true average length of stay for patients given the ventilation treatment in a way that conveys information about precision and reliability. (Use a 95% confidence level. Round your answers to two decimal places.) [Lower bound, Upper bound] days
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