The purpose of this question is to compare the variability of x¯¯¯1 and x¯¯¯2 with the variability of (x¯¯¯1−x¯¯¯2). (
a) Suppose the first sample of 100 observations is selected from a population with mean μ1=180 and variance σ21=1180. Construct an interval extending 2 standard deviations of x¯¯¯1 on each side of μ1.
______ ≤ μ 1≤ _______
(b) Suppose the second sample of 100 observations is selected from a population with mean μ2=180 and variance σ22=970. Construct an interval extending 2 standard deviations of x¯¯¯2 on each side of μ
___ ≤ μ2 ≤ ______
a)
lower limit = 180 - 2*sqrt(1180/100) = 173.13
upper limit = 180 + 2*sqrt(1180/100) = 186.87
173.13 < mu1 < 186.87
b)
lower limit = 180 - 2*sqrt(970/100) = 173.77
upper limit = 180 + 2*sqrt(970/100) = 186.23
173.77 < mu2 < 186.23
The purpose of this question is to compare the variability of x¯¯¯1 and x¯¯¯2 with the...
(1 point) The purpose of this question is to compare the variability of and 32 with the variability of (i-X2 170 and variance Suppose the first sample of 100 observations is selected from a population with mean μ! = 1120. a) Construct an interval extending 2 standard deviations of x1 on each side of H1 b) Suppose the second sample of 100 observations is selected from a population with mean μ2 = 170 and variance = 980. Construct an interval...
(1 point) The purpose of this question is to compare the variability of 21 and 22 with the variability of (71 22). (a) Suppose the first sample of 100 observations is selected from a population with mean pi = 170 and variance oſ = 1080. Construct an interval extending 2 standard deviations of 21 on each side of ui. <M1 < = 1430. Construct an interval (b) Suppose the second sample of 100 observations is selected from a population with...
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a) Suppose the first sample of 100 observations is selected from a population with mean 150 and vanance = 1580 Construct an interval extending 2 standard devi ati ons ola on eac h side of μ1 = 150 and b) Suppose the second sample of 100 observations is selected from a population with mean variance σ = 1180 Construct an interval extending 2 standard deviations of z2 on each side of...
Having the worst time trying to answer these three questions below. Assume that σ21=σ22=σ2. Calculate the pooled estimator of σ2 when the first sample gives s21=128 and the second independent sample gives s22= 128, and n1=n2=36. Give your answer to two decimal places , do not round up or down. And .. Two independent random samples have been slected ; 111 observations from population one and 143 observations from population two. From previous experience it is known that the standard...
x, and S1 are the sample mean and sample variance from a population with mean μ| and variance ơf. Similarly, X2 and S1 are the sample mean and sample variance from a second population with mean μ and variance σ2. Assume that these two populations are independent, and the sample sizes from each population are n,and n2, respectively. (a) Show that X1-X2 is an unbiased estimator of μ1-μ2. (b) Find the standard error of X, -X. How could you estimate...
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Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data. The sample size is 478 for both samples. Find the 85% confidence interval for μ1-μ2 X1-958, x2-157, s1 77, s2-88 ○ A. 791 <...
At α=0.01α=0.01, test the claim that there is no significant difference between the average salaries of registered nurses and physician assistants in Ontario. Random samples of 36 registered nurses and 41 physician assistants have been selected across the province. The following table contains means for both samples. We also assume that the variability of these numbers didn't change since the last time the study was conducted and the population standard deviations are still available. Assume that the zz-distribution can be...
9.6 in order to compare the means of two populations, inde- NW pendent random samples of 400 observations are selected from each population, with the following results Sample 1 Sample 2 $.240 s2 200 5,275 1150 a. Use a 95% confidence interval to estimate the dif- ference between the population means (μ,-μ Interpret the confidence interval. b. Test the null hypothesis Ho (μι-μ)--0 versus the c. Suppose the test in part b were conducted with the d. Test thenull hypothesis...
Population 1 Female weights Population 2 male weights 128 190 142 145 130 150 133 127 195 165 166 155 112 155 180 180 180 156 155 188 144 220 140 154 143 200 110 210 160 270 125 250 130 180 150 250 145 240 180 170 175 150 108 155 200 195 151 210 170 155 141 165 200 145 185 190 142 234 125 205 130 151 240 153 160 172 120 200 210 130 220 210...
Consider the following data drawn independently from normally distributed populations: (You may find it useful to reference the appropriate table: z table or t table) x−1x−1 = 29.5 x−2x−2 = 34.3 σ12 = 88.4 σ22 = 92.5 n1 = 28 n2 = 26 a. Construct the 95% confidence interval for the difference between the population means. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places and final answers to 2...