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- Construct a 95% confidence interval for the mean difference in their total ventilation when the subjectsare at rest and when performing imaginary muscular work if hypnosis is induced between the twophases.Do not use R.The point estimate for the proportion of 16-kbit dynamics RAMs that function correctly for at least 1000 hours based on a sample size 100 is .91. Find a 95% confidence interval on p.The health of the bear population in Yellowstone National Part is monitored by periodic measurements taken from anesthetized bears. A sample 54 bears has a mean weight of 182.9 lb. and o is know as 121.8 lb., find a 99% confidence estimate of the population of all bear weights.
- The pulse rates of 215 randomly selected adult males vary from a low of 33bpm to a high of 121 bpm. Find the minimum sample size required to estimate the mean pulse rate of adult males. Assume that we want 99% confidence that the sample mean is within 5 bpm of the population mean.A study was conducted by a group of neurosurgeons. They compared a dynamic system (Z-plate) and a static system (ALPS plate) in terms of the number of acute postoperative days in the hospital spent by the patients. The descriptive statistics for these data are as follows: for 14 patients with dynamic system, the sample mean number of acute postoperative days was 7.36 with standard deviation of 1.22; for 6 patients with static system the sample mean number of acute postoperative days was 10.5 with sample standard deviation of 4.59. Assume that the numbers of acute postoperative days in both populations are normally distributed. We wish to estimate µ1 − µ2 with a 99 percent confidence interval. Can you assume unknown population variance are equal. a. Degrees of freedom and t-value are b. Margin of error and confidence interval are c. Based on your interval in part (b), we can state with 99 percent confidence that the average numbers of acute postoperative days in two populations i.…The pulse rates of 176 randomly selected adult males vary from a low of 40 bpm to a high of 116 bpm. Find the minimum sample size required to estimate the mean pulse rate of adult males. Assume that we want 95% confidence that the sample mean is within 2 bpm of the population mean.
- The average time period that spouses survive after the death of their partner is said to be greater for widows than for widowers. A sociologist who wishes to evaluate such claim obtained survival data (in years) following the death of a spouse on randomly selected 10 widows and 8 widowers. Software Output: Shapiro-Wilk TestFor Widows: data: survival p-value = 0.57For Widowers: data: survival p-value = 0.98Levene’s Test for Homogeneity of Variance p-value = 0.98 What is the most appropriate test procedure to test the claim? a. Z-test b. Pooled t-test c. Non-pooled t-test d. Mann-Whitney TestA researcher was interested in comparing the resting pulse rates of people who exercise regularly and of those who do not exercise regularly. Independent simple random samples of 16 people who do not exercise regularly and 12 people who do exercise regularly were selected and the resting pulse rates (in beats per minute) were recorded. Test the claim that the mean resting pulse rate of people who exercise regularly is larger than the mean resting pulse rate of people who do not exercise regularly. How many populations? 01 What is the parameter? O Variance O standard Deviation O Proportion O Difference between Means O MeanA 95% confidence interval for the mean was computed with a sample of size 90 to be (16,22). Then the Error is ±3.
- A school nurse wants to determine if there is a significant relationship between the height and weight of students. The table below shows the height and weight given in cm and kg, respectively, of 10 students in a class. Test the hypothesis using 0.05 level of significance. Then, if possible, predict the estimated weight of a 180 cm-tall student.A scientist wants to establish if the Mississippi’s river height has increased using data from 1970 and 2020. Historically, it’s known that the variance of the height within any given year is 4.5ft. The sample from 1970 has 80 measurements with ?1μ1 = 30ft and the sample from 2020 has 260 measurements with ?2μ2 = 31.5ft. Find a 95% confidence interval for the average increase of height.
