A study that wants to find out the level of love for covid-19 in 1 healthcare provider universe, inheritance over 16 samples found 170.23, shows a normal distribution with 36 shows a normal distribution, accordingly, which limits is between 95% reliability?
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A study that wants to find out the level of love for covid-19 in 1 healthcare provider universe, inheritance over 16 samples found 170.23, shows a
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- A tire company tested a particular model of super radial tire and found the tires to be normally distributed with respect to wear. The "average" (mean) tire wore out at 62,000 miles, and the standard deviation was 2,000 miles. (a) If 3,000 tires are tested, about how many are likely to wear out before 58,000 miles? tires (b) What if the company wanted to guarantee 59,000 miles? What percent of the tires are likely to wear out before 59,000 miles? In this case, you cannot get an "exact" answer. (Round your answer to one decimal place.) %Suppose a researcher is interested in a new treatment plan for CD4 cell count in immune-compromised patients with HIV. In order to investigate the new drug, the researcher gathers a group of 55 individuals with a mean CD4 count of 300 cells/mm3 after treatment with a standard deviation of 25.1. Test the hypothesis that the mean CD4 count goal is not 292 cells/mm3. Perform a two-way directional test, complete the 5 step process and calculate the appropriate confidence interval. (Use an alpha level of 0.01) H0:u= (Example answer ###) Ha:u ≠ (Example answer ###) Ztest= (Example answer #.##) p-value= (Example answer .###) Confidence Interval= (Example answer ###.#,###.#) Fail to reject or Reject the H0 (Example answer Fail to reject or Reject)A random sample of people who tried 3 types of diet is collectedto determin if mean weight loss differs across diet types. Perform inference at significance level 0.05. If it is needed, perform inference taking age as a covariate. Weight Loss: (3.841, 2.5341, 8.6165, 7.3756, 5.4883, 10.591, 12.2113, 3.6752, 10.2109, 12.8081, 14.9185, 9.1484, 14.6684, 17.3383, 14.3372) Diet Type: (typе1, "tуpe1', 'type1, "type1', "type1', "tуpe2", "type2, tуpe2", 'type2", "type2, "type3', typе3", "typе3', typе3', 'type3") Age: (30, 30, 24, 30, 31, 30, 32, 30, 28, 36, 46, 50, 50, 48, 46) After adjusting for age, there is significant evidence that there are differences of mean weight loss across 3 diet types. There is not significant evidence that there are differences of mean weight loss across 3 diet types. After adjusting for age, there is not significant evidence that there are differences of mean weight loss across 3 diet types. We cannot determine whether there are differences of mean weight loss…
- Average IQ scores for young school children are known to be 100 (SD = 15). However, the literature indicates that children’s intelligence may be decreased if their mothers have German measles during pregnancy. Using hospital records, a researcher obtained a sample of n = 25 school children whose mothers all had German measles during their pregnancies. Do the data indicate that children born to mothers who had German measles during the pregnancy have significantly lower IQ scores than typical young school children? DATA (Fictional) child IQ scr 1 91 2 111 3 97 4 95 5 96 6 95 7 95 8 96 9 94 10 93 11 95 12 92 13 96 14 91 15 97 16 93 17 92 18 99 19 93 20 97 21 85 22 94 23 96 24 95 25 96 Looking at the research scenario for this lab, you will see that it says, “ literature indicates that children’s intelligence may…A manufacturer of office machines is considering the production of a new word processor. The decision to start large-scale production of the new machines will be based on the comparison of the mean operating speed using the standard machines (µx) and the mean operating speed using the new machines (µy). Since operators of the machine have varying abilities, a random sample of 20 typists was selected and the speed of each typist in the sample was observed once using the new word processor and once using the standard word processor. The collected data on the speed (in minutes) are as follows: Typist (i) Standard Processor (Xi) 1 2 3 4 5 6. 8 10 60.2 58.7 59.4 60.3 61.7 60.2 64.1 63.2 62.4 57.8 New Processor (Yi) 57.2 57.4 56.4 58.5 60.1 61.4 61.9 60.4 60 56.8 Typist (i) Standard Processor (Xi) 11 12 13 14 15 16 17 18 19 20 55.4 61.2 64.7 64.1 62.9 65.8 69.3 56.4 58.5 63.7 New Processor (Yi) 50.2 58.4 63.5 60.5 62.2 66.3 68.5 56.6 58.3 60.2 Assuming normality, compute a 95% confidence…Suppose a researcher is interested in a new treatment plan for CD4 cell count in immune-compromised patients with HIV. In order to investigate the new drug, the researcher gathers a group of 25 individuals with a mean CD4 count of 335 cells/mm3 after treatment with a standard deviation of 12.1. Test the hypothesis that the mean CD4 count goal is not 329.28 cells/mm3. Perform a two-way directional test, complete the 5 step process and calculate the appropriate confidence interval. (Use an alpha level of 0.01)
- 19.2 Coffee drinkers. A July 2015 Gallup poll interview by phone a random sample of 1009 American adults; 675 said they were regular coffee drinkers. a) describe the population and explain in words what the parameter p is. b) give the numerical value of the statistical ^p that estimates p. c) Give a 95% confidence interval for the proportion of American adults who are regular coffee drinkers.Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in ₁ = 290 and ₁ = 12, and another random sample of 16 gears from the second supplier results in ₂ = 321 and s₂ = 22. Is there evidence to support the claim that supplier 2 provides gears with higher mean impact strength? Use a = 0.05, and assume that both populations are normally distributed but the variances are not equal. a. Because -4.64 < -1.714, reject the Null Hypothesis b. Reject the Null Hypothesis c. Because -4.64 < -1.714, fail to reject the Null Hypothesis O d. None among the choicesIn a study of an automobile insurance a random sample of 80 body repair costs had a mean of 2472.36 and a standard deviation of 62.35. If x is used as a point estimate to the true average repair costs, with what confidence we can assert that the maximum error doesn't exceed 10?