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Total blood volume (in ml) per body weight (in kg) is important in medical research

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Total blood volume (in ml) per body weight (in kg) is important in medical research. For healthy adults, the red blood cell volume mean is about μ = 28 ml/kg.† Red blood cell volume that is too low or too high can indicate a medical problem. Suppose that Roger has had seven blood tests, and the red blood cell volumes were as follows. 31 27 41 35 30 36 29 The sample mean is x ≈ 32.7 ml/kg. Let x be a random variable that represents Roger’s red blood cell volume. Assume that x has a normal distribution and σ = 4.75. Do the data indicate that Roger’s red blood cell volume is different (either way) from μ = 28 ml/kg? Use a 0.01 level of significance.

 

(a) What is the level of significance? State the null and alternate hypotheses. Will you use a left-tailed, right-tailed, or two-tailed test? H0: μ = 28 ml/kg; H1: μ > 28 ml/kg; right-tailed H0: μ = 28 ml/kg; H1: μ ≠ 28 ml/kg; two-tailed H0: μ ≠ 28 ml/kg; H1: μ = 28 ml/kg; two-tailed H0: μ = 28 ml/kg; H1: μ < 28 ml/kg; left-tailed

 

(b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution. The standard normal, since we assume that x has a normal distribution with known σ. The standard normal, since we assume that x has a normal distribution with unknown σ. The Student’s t, since we assume that x has a normal distribution with known σ. The Student’s t, since n is large with unknown σ. Compute the z value of the sample test statistic. (Round your answer to two decimal places.)

 

(c) Find (or estimate) the P-value. (Round your answer to four decimal places.

 

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α? At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

 

 
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