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- Which two fields of the ANOVA summary table help us find the critical value? Select all that apply A.df between B.MS within C.df within D. MS betweenA researcher examines 61 critically ill patients with myxedema coma. He wishes to determine if the response time in minutes is different when administered vasopressors or levothyroxine. What would be appropriate test to apply in this scenario? t-test for independent samples Chi-square ANOVA t-test for dependent samples.A random sample of n1 = 300 voters registered in the state of California showed that 143 voted in the last general election. A random sample of n2 = 216 registered voters in the state of Colorado showed that 130 voted in the most recent general election. Do these data indicate that the population proportion of voter turnout in Colorado is higher than that in California? Use a 5% level of significance. I need help with sketching, d and e
- A clinical study was conducted on a medicine and the data obtained as follows: calculate Sensitivity Diseased •True Positive: 1000 •True negative: 50 Non diseased •True positive: 100 •True negative: 800A severe storm has an average peak wave beight of 16,4 feet for waves hitting the shore. Suppose that a storm is in progress with a severe storm class rating. Let us say that we want to set up a statistical test to see if the wave action (i.e., height) is dying down or getting worse. If you wanted to test the hypothesis that the waves are dying down, what would you use for the alternate hypothesis? Is the P-value area on the left, right, or on both sides of the mean? O H:a is less than 16.4 feet; the P-value area is on the left of the mean O H:u is less than 16.4 feet; the P-value area is on the right of the mean O H: u is greater than 16.4 feet; the P-value area is on the right of the mean OH:u is not equal to 16.4 feet: the P-value area is on the left of the mean OH : u is not cqual to 16.4 feet; the P-value area is on the right of the meanIn which of these research designs would you only control who gets an intervention and who does not? Experimental Cross-sectional Quasi-experimental Case-Control
- what is the statistical test used, what is Ha and Ho, the df, the t critical, and t observed?A severe storm has an average peak wave height of 16.4 feet for waves hitting the shore. Suppose that a storm is in progress with a severe storm class rating. Let us say that we want to set up a statistical test to see if the wave action (i.e., height) is dying down or getting worse. If you wanted to test the hypothesis that the waves are dying down, what would you use for the alternate hypothesis? Is the P-value area on the left, right, or on both sides of the mean?Cheek teeth of extinct primates. The characteristics of cheek teeth (e.g., molars) can provide anthropologists with information on the dietary habits of extinct mammals. The cheek teeth of an extinct primate species were the subject of research reported in the American Journal of Physical Anthropology (Vol. 142, 2010). A total of 18 cheek teeth extracted from skulls discovered in western Wyoming were analyzed. Researchers recorded the dentary depth of molars (in millimeters) for a sample of 18 cheek teeth extracted from skulls. These depth measurements are listed in the accompanying table. Anthropologists know that the mean dentary depth of molars in an extinct primate species— called Species A—is 15 millimeters. Is there evidence to indicate that the sample of 18 cheek teeth come from some other extinct primate species (i.e., some species other than Species A)? The data are given below (you will need to put it into a single column). You will need to calculate the sample…
- Eyeglassomatic manufactures eyeglasses for different retailers. They test to see how many defective lenses they made in a given time period and found that 10% of all lenses had defects of some type. Looking at the type of defects, they found in a three-month time period that out of 34,024 defective lenses, 5840 were due to scratches. Are there more defects from scratches than from all other causes? State the Type I and Type II errors in this case.State the Type I error. Concluding that the proportion of defects from scratches is 10%, when in reality it is less than 10%. Concluding that the proportion of defects from scratches is 10%, when in reality it is higher than 10%. Concluding that the proportion of defects from scratches is less than 10%, when the proportion is actually 10%. Concluding that the proportion of defects from scratches is higher than 10%, when the proportion is actually 10%. State the Type II error. Concluding that the proportion of defects from scratches is…What is the MS between and MS within? what is the MS subject? what is the Sm (needed in the Tukey test)fo. A Radon level of more than 4 pCL is considered unsafe for humans. A house-inspector tests following null and alternative hypothesis. H:us40 H:p>40 . Describe the type I and Type 2 errors in this experiment. Type I error: Type II Error: Page S of 5