You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately p = 27 % . You would like to be 95% confident that your estimate is within 5% of the true population proportion. How large of a sample size is required? %3D n = Do not round mid-calculation. However, use a critical value accurate to two decimal places.
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- You want to obtain a sample to estimate the proportion of a population that possess a particular genetic marker. Based on previous evidence, you believe approximately p∗=87% of the population have the genetic marker. You would like to be 99% confident that your estimate is within 5% of the true population proportion. How large of a sample size is required? n= (Do not round mid-calculation, use a critical value accurate to three decimal places.)medical researcher says that less than 79% of adults in a certain country think that healthy children should be required to be vaccinated. In a random sample of 200 adults in that country, 75% think that healthy children should be required te vaccinated. At a=0.01, is there enough evidence to support the researcher's claim? Complete parts (a) through (e) below. (b) Find the critical value(s) and identify the rejection region(s). Identify the critical value(s) for this test (Round to two decimal places as needed. Use a comma to separate answers as needed.) Identify the rejection region(s). Select the correct choice below and fill in the answer box(es) to complete your choice. (Round to two decimal places as needed.) O A. The rejection region is z>. O B. The rejection regions are z< and z> O C. The rejection region is <z< O D. The rejection region is z< (C) Find the standardized test statistic z. (Round to two decimal places as needed.) (d) Decide whether to reject or…An experiment has been conducted to investigate the effects of carbon monixide in the breathing capability of human. The claim was breathing frequency is higher in the presence of CO. The data shows the result of the experiment (see picture). Assume that the breathing frequency is approximately normal. a) What should be the good hypotheses for this problem? b) At 0.05 level, what is the critical region? c) What is the t-value/z-score? d) Is the claim true at 0.05 level?
- A study was done to compare the birth weight of newborn babies from the general population to a group of 24 babies born to mothers who smoked during pregnancy. The researcher was testing her prediction of an average lower birth weight for babies born to smokers. The mean birth weight in the population was reported to be 3.5 kg and birth weight in the sample was M = 3.0 kg. Results from the t-test used in data analysis showed a t-value = 5.35, p = .02. No calculations are required here. Type in your answers to the following questions in the space below. 1) which of the 3 t-tests is the proper one to use? 2) Write the Null and Alternative Hypotheses for this study in a sentence, including the value of mu. 3) Write an APA conclusion for this study to report the results. This sentence should include the IV and DV, significance, APA stats, and the M.Determine the null and alternative hypotheses. Identify the test statistic, r. Identify the critical value(s). (Round to three decimal places as needed.) State the conclusion.If the researchers and sides to test this hypothesis at a = 0.01 level of significance, determine the critical values. The critical values are_. Use a comma to separate answers as needed. Round to three decimal places as needed.
- The data shown in Table 6E.2 are x and R values for 24 samples of size n = 5 taken from a process producing bearings. The measurements are made on the inside diameter of the bearing, with only the last three decimals recorded (i.e., 34.5 should be 0.50345). (a) Set up x and R charts on this process. Does the process seem to be in statistical control? If necessary, revise the trial control limits. (b) If specifications on this diameter are 0.5030+/- 0.0010, find the percentage of nonconforming bearing produced by this process. Assume that diameter is normally distributed.Having the variation data regression line r=0.931 and the calculated coefficient of determination of 0.867.. And explained variation of the data of 86.7%.. About the unexplained variation? [ ] % of the variation is unexplained and is due to other factors or to sampling error. (Round to one decimal place as needed.)The personality trait of "Conscientiousness" (someone who is organized, responsible, and can control their impulses) has μ = 120 and σ =9. Test whether ARC students (n = 9, M = 126) differ on Conscientiousness. α = .05. Does the z score for the sample mean lie in the critical region (beyond the critical boundary)?
- A random survey of 90 women who were victims of violence found that 24 were attacked by relatives. A random survey of 60 men found that 10 were attacked by relatives. At a=0.05. can it be shown that the percentage of women who were attacked by relatives is different from the percentage of men who were attacked by relatives? Compute the test value. Round sample proportions to three decimal places and z score values to two decimal places. Find the critical values. Do we reject or not reject the null hypothesis?The mean of a population of raw scores is 33 (Sx =12). Our sample has X 36.8 (N = 30). Using the .05 criterion and the upper tail of the sampling distribution: (a) What is the critical value? (b) Is the sample mean in the region of rejection? How do you know? (c) What does the mean’s location indicate about the likelihood of this sample occurring in this population? (d) What should we conclude about the sample? *ANSWER ALL PARTS OF QUESTION*The chi square statistics please answer and show work on solving x2 critical value and x2