A random sample of size 12 from a normal population has a mean of x-bar = 52.8 and s = 2.53. If you were to test the following hypothesis at the .05 level of significance the critical region for rejecting the null hypothesis would be defined as: Ho: H= 50 Ho: H > 50 Ot> 2.179 Ot> 1.782 Ot> 1.796 Ot> 2.201
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- The lowest level of significance to reject the null hypothesis of no linear association between blood pressure and age is: OA: 0.003 OB: 0.05 OC: 0.0002 OD: 0.0001 OE: 0.04A two-tailed test at a 0.1031 level of significance has z values of a. -1.63 and 1.63 O b. -0.82 and 0.82 Oc.-0.82 and 0.82 Od. -1.26 and 1.26 Show All FeedbackA researcher expects that a newly developed shoe used by a sample of n = 6 individuals will reduce running speeds compared to a sample of n = 11 individuals using a control condition shoe. The critical region for the one-tailed hypothesis test with alpha = .05 is t = +1.753. True or False?
- The yield of alfalfa from a random sample of six test plots is 1.4, 1.6, 0.9, 1.9, 2.2,and 1.2 tons per acre. Assume the data can be looked upon as a sample from anormal population. Test at the 0.05 level of significance whether this supports thecontention that the average yield for this kind of alfalfa is 1.5 tones per acre.Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x = 101.16, y = 102.3, r= 0.810, P-value = 0.000, and y = 23.09+0.78x, where x represents the IQ score of the wife. Find the best %3D %3D %3D predicted value of y given that the wife has an IQ of 109? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. .... The best predicted value of y is . (Round to two decimal places as needed.) Critical values of the pearson correlation coefficient r NOTE: To test Ho: p = 0 against H,: p#0, reject Ho |if the absolute value of r is greater than the critical value in the table. a = 0.05 a = 0.01 4 0.950 0.990 0.878 0.959 0.811 0.917 0.754 0.875 0.707 0.834 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.590 19 0.456 0.575 20 0.444 0.561 25 0.396 0.505 30 0.361 0.463 35 0.335 0.430 40…9 of 14 (14 complete) HW Score: 84.52%, 11.83 of 14 Y5.4.33 Question Help The height of women ages 20-29 is normally distributed, with a mean of 63.9 inches. Assume o = 2.8 inches. Are you more likely to randomly select 1 woman with a height less than 64.5 inches or are you more likely to select a sample of 25 women with a mean height less than 64.5 inches? Explain. Click the icon to view page 1 of the standard normal table. Click the icon to view page 2 of the standard normal table. What is the probability of randomly selecting 1 woman with a height less than 64.5 inches? (Round to four decimal places as needed.) ces ary ns Enter your answer in the answer box and then click Check Answer. Check Answer Clear All 2 parts remaining e here to search
- A study was undertaken to compare the average high-density lipoprotein (HDL) levels of normal and obese adults in a certain community. HDL levels of a random sample of adults from this community were measured (in milligrams per deciliter or mg/dL) and presented below. Assume that the HDL levels of both the normal and obese adults follow the normal distribution with unknown but equal population variances. Is there a significant difference between the average HDL levels of normal and obese adults? Use a 5% level of significance.The health of the bear population in Yellowstone National Park is monitored by periodic measurements taken from anesthetized bears. A sample of 54 bears has a mean weight of 195 lbs. Assuming that o is known to be 130 lbs, use a 0.05 significance level to test the claim that the population mean of all such bears weights is greater than 160.The average UQ student reports dedicating 8.5 hours per week to each 2-unit course. What is the approximate t obtained value for a group of 16 psychology students who study for a mean of 9.5 hours per week for each 2-unit course, where the estimated population variance is 3.68. Would this sample be considered significantly different from the population, applying an alpha level of 0.05? t = 0.48; the sample would be considered statistically significant t = 0.48; the sample would NOT be considered statistically significant t = 2.08; the sample would NOT be considered statistically significant t = 2.08; the sample would be considered statistically significant
- Aortic stenosis refers to a narrowing of the aortic valvein the heart. The article “Correlation Analysis ofStenotic Aortic Valve Flow Patterns Using PhaseContrast MRI” (Annals of Biomed. Engr., 2005:878–887) gave the following data on aortic root diameter(cm) and gender for a sample of patients having variousdegrees of aortic stenosis:M: 3.7 3.4 3.7 4.0 3.9 3.8 3.4 3.6 3.1 4.0 3.4 3.8 3.5F: 3.8 2.6 3.2 3.0 4.3 3.5 3.1 3.1 3.2 3.0a. Compare and contrast the diameter observations forthe two genders.b. Calculate a 10% trimmed mean for each of the twosamples, and compare to other measures of center(for the male sample, the interpolation method mentionedin Section 1.3 must be used).Do adults (age 20–45) with children and adults without children have the same distribution of type of vehicle that is driven? In a large city, 130 randomly selected adults with children and 170 randomly selected adults without children were asked which type of car best describes the vehicle they primarily drive: car, truck, van, or SUV. A significance test will be conducted using the data to determine if there is convincing evidence at α = 0.05 that the distribution of type of vehicle driven differs between adults (age 20–45) with children and adults without children. What are the hypotheses for this test? H0: There is in the distribution of vehicle type driven between adults (aged 20–45) with children and adults without children. Ha: There is in the distribution of vehicle type driven between adults (aged 20–45) with children and adults without children.Evans conducted a study to determine if the frequency and characteristics of pediatric problems in elderly patients with diabetes present differences with respect to patients of the same age, but without diabetes. The individuals studied, interned in a clinic, were between 70 and 90 years old. Among the researchers' findings are the following statistics. with respect to the scores on the deep tendon reflexes meters:Sample without Diabetes: 79 / 2.1 / 1.1With Diabetes: 74 / 1.6 / 1.2Is it possible to conclude, based on the data, that, on average, diabetic patients they have reduced deep tendon reflexes in comparison with patients without diabetes of the same age?