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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. 34 25 43 34 28 37 31 The sample mean is x ≈ 33.1 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;…The average sales in a company = 225 St devaitin = 40 Using z scores, any sale over what amount would be an outlierTemperature in degrees Fahrenheit has been collected from a sample of 50 individuals. The mean is 98.5 and standard deviation is 3.2. If we convert each observation into degrees in the centigrade scale ((X°C × 9/5) + 32 = Y°F) then what would be the new mean and standard deviation of the set of temperatures?
- What is the value of the mean? 1 P(X=x) 0.15 0.20 0.15 0.50 SMVSA special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage). Statistic Test Group Control Group Mean Damage x¯1x¯1 = $ 1,101 x¯2x¯2 = $ 1,766 Sample Standard Deviation s1 = $ 696 s2 = $ 838 Repair Incidents n1 = 12 n2 = 9 (a) Construct a 90 percent confidence interval for the true difference of the means assuming equal variances. (Round answers to 3 decimal places. Negative values should be indicated by a minus sign.) (b) Repeat part (a), using the assumption of unequal variances with Welch's formula for d.f. (Round answers to 2 decimal places. Negative values should be indicated by a minus sign.) (d) Construct separate…Let x₁ represent the sample mean cost (in thousands) to remodel a kitchen and x₂ represent the sample mean cost (in thousands) to remodel a master bedroom. A point estimate for the difference in these remodeling costs is desired, so x₁ - x₂ is needed. A sample mean is calculated as follows where x, is the sum of the given values and n is the sample size. X = n The sample of costs to remodel a kitchen, in thousands of dollars, are given. Kitchen 27.2 18.4 23.8 22.9 20.7 24.0 21.7 17.9
- For chi-square, what is the difference between observed and expected frequencies? There is no difference: both look at proportions in sample Observed = proportions in sample; expected = proportions in population There is no difference: both look at proportions in population Observed = proportions in population; expected = proportions in sample175% O ALTITUDES (OH MYI (ОН МУН en information to find each value. 2. Find x and RT if SU is a median of ARST. on TU UR def of 2x+24 2x +24=5x-30D medion 5x-30 X =18 X-18 RT=120For exercise 1. What is the standard error of these measurements and mean value? I have attached example 3
- i really need some help with thisFind the z-score corresponding to the given value and use the z-score to determine whether the value is significantly low or high. Consider a score to be significantly low if its z-score is less than or equal to -2. Consider a z-score to be significantly high if it is greater than or equal to 2. Round the z-score to the nearest tenth if necessary. A body temperature of 96.7° F given that human body temperatures have a mean of 98.20° F and a standard deviation of 0.62°.IQ scores are distributed approximately normally, with a mean of 100 and SD of 15 a. What proportion of IQ are over 120? (area =?) b. What is the percentile when IQ is 120?