a) n = 12 scores with s² = 40 SM= b) n = 125 scores with s² = 100 SM. c) n=9 scores with s-15 SM=
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- Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm Left arm 143 179 OA. Ho: H0 H₁: Hd=0 OC. Ho: P = 0 H₁: Hd 0 sufficient evidence to support the claim of a difference in measurements between the two arms.3. In a multiple regression with two explanatory variables, the total sum of squares SST = 1000 and the mean square error MSE = 40. There are 13 observations. What is the value of R?? A) 0.04 0.60 B) 0.52 D) 0.96 4. In a multiple regression with three explanatory variables, the total sum of squares SST = 1008, the model mean square MSM = 76, and the test statistic F= 2.533. How many observations were used? A) 26 B) 29 Use the following to answer questions 5-11: C) 30 D) 31The variance of one sample (22 regions) = 14.29. (a=0.01) (10')
- Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test for a difference between the measurements from the two arms. Identify the test statistic and p-value. Right arm Left arm 144 167 OA.T-3.07, p-value = 0.037 OB. T = -2.32, p-value = 0.081 OC. T = -1.93, p-value = 0.127 OD. T = -4.01, p-value = 0.016 133 161 132 179 138 145 136 1442. Find the quartiles for these data values: 5, 7, 7, 8, 10, 11, 12, 15, 17 OAQ₁ 7.Q₂ Q2 OB. Q₁ 7.Q₂ = 10.Q3 - 13.5 = Oc. Q₁ = 6, Q2 = 9, Q3 = 12 OD. Q₁ 7.5. Q₂ [Am] ( = 11. Q3 = 15 10.5 Q3 = 13.5I need help finding the test statistic t (rounded to 2 decimal places) and the P-value (rounded to 3 decimal places). Thank you
- By what numerical value should SS be divided in order to compute an unbiased variance?QUESTION 5Based on the images attached, consider the data in the table (USD). a) Compute the residual variance and standard error of the estimate.b) (Refer to the image attached).*Help me solve these questions. Thank you.The amount of chlorine in 100 cm3 water taken from a water tank was measured, the average was 2.15 mg was found. The expert claims that the amount of chlorine in the water is greater than that measured. For this reason, 100 households were randomly selected, with an average chlorine content of 2.55mg and a variance of 0.49 mg. According to this data, find the account value z. 13 - O A) 8,15 O B) 5,71 O C) -5,71 O D) -8, 15 O E) 0.54
- • Question 9 > Complete the ANOVA table. Round to two decimals if needed. Note that "Factor" = "Between" and "Error" = "Within" Source S d.f. MS Factor 70 4 Error 28 17 a. MSB = b. MSw = c. F = Submit Question ctor MacBook Air E3 F4 F7 F8 F9 F10 @ 23 %24 4. & 8. W R T Y K C 6 F.Please show me your solutions and interpretations. Show the completehypothesis-testing procedure.A manufacturing company produces bearings. One line of bearings is specified to be 1.64 centimeters (cm) in diameter. A major customer requires that the variance of the bearings be no more than 0.001 cm2. The producer is required to test the bearings before they are shipped, and so the diameters of 16 bearings are measured with a precise instrument, resulting in the following values:1.69 1.62 1.63 1.70 1.66 1.63 1.65 1.71 1.64 1.69 1.57 1.64 1.59 1.66 1.63 1.65Assume bearing diameters are normally distributed. Use the data and α = 0.025 to test the data to determine whether the population of these bearings is to be rejected because of too high variance.I need a clear answer by hand, not by keyboard | dybala