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A steel railroad rail expands and contracts according to the formula
T is the change in temperature. If a 50.0-ft steel rail is installed at
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Chapter 6 Solutions
Elementary Technical Mathematics
- The output voltage of a power supply is assumed to be normally distributed. Sixteen observations taken at random on voltage are as follows: 10.35, 9.30, 10.00, 9.96, 11.65, 12.00, 11.25, 9.58, 11.54, 9.95, 10.28, 8.37, 10.44, 9.25, 9.38, and 10.85. (a) Test the hypothesis that the mean voltage equals 12 V against a two-sided alternative using a = 0.05. (b) Construct a 95% two-sided confidence interval on μ. (c) Test the hypothesis that σ² = 11 using α = 0.05. (d) Construct a 95% two-sided confidence interval on σ. (e) Construct a 95% upper confidence interval on σ. (f) Does the assumption of normality seem reasonable for the output voltage?arrow_forwardAnalyze the residuals from the regression model on the patient satisfaction data from Exercise 3. Comment on the adequacy of the regression model.arrow_forward3 y 7 Find the length of the curve x= + on 3 ≤ y ≤5. 21 4yarrow_forward
- Consider the hypotheses: Hop=po H₁ppo where 2 is known. Derive a general expression for determining the sample size for detecting a true mean of 1μo with probability 1-ẞ if the type I error is a.arrow_forwardSuppose we wish to test the hypotheses: Họ : | = 15 H₁: 15 where we know that o² = 9.0. If the true mean is really 20, what sample size must be used to ensure that the probability of type II error is no greater than 0.10? Assume that a = 0.05.arrow_forwardMoment of a Force 2.14 Ma= Does Box Tip Over?=- 2.15 (change beam weight to 900 N)) X= 2.17 P= Varignon's Theorem 2.19 (change story height to 5m) Ma= 2.21 MA=. MB=_ 2.23 (change maximum tension to 2500 lbs) W= Couple and Moment of a Couple 2.24 MA=. MB=_ 2.26 (change force to 110 KN) F= M= Answer all parts, please.arrow_forward
- Match each statement to the set of shapes that best describes them. 1. Similar triangles by SSS 2. Similar triangles by SAS 3. Similar triangles by AA 4. The triangles are not similar > U E 35° 89° S F 89° J 35° 94° G 52° 90° E K 52° Iarrow_forwardTable 1 contains the data from a patient satisfaction survey for a group of 25 randomly selected patients at a hospital. In addition to satisfaction, data were collected on patient age and an index that measured the severity of illness. (a) Fit a linear regression model relating satisfaction to patient age. (b) Test for significance of regression. (c) What portion of the total variability is accounted for by the regressor variable age? Table 1: Patient Satisfaction Data Severity Observation Age (21) (x2) Satisfaction (y) 1 55 50 2 46 24 3 30 46 4 35 48 5 59 58 6 61 60 7 74 65 8 38 42 9 27 42 10 51 50 11 53 38 12 41 30 13 37 31 88 14 24 34 15 42 30 16 50 48 17 58 61 18 60 71 19 62 62 20 68 38 21 70 41 22 79 66 23 63 31 24 39 42 25 49 40 BE225222222222222222 68 77 96 80 43 44 26 88 75 57 56 88 102 88 70 43 46 56 59 26 83 75arrow_forwardMatch each transformation series with the diagram that applies to it. 1. (x, y) (x-10, y + 7) scale factor: 2 2. (x, y)(x-8, y+6) scale factor: 4 3. (x, y)(x+1, y - 5) scale factor: 5 D' 104º 6 2 -10 8 -6 F2 4 5 D 2 E -4 -6 100 E 8 10 Farrow_forward
- the answer is Dcould you explain how using the curland also please disprove each option that is wrongarrow_forwardWhich sets of figures below are similar? Select all that apply. 48 yd 48 yd G 48 yd 26 mm 40 m 23 km 25 m 22 mm 37 mm 25 mi 42 yd 48 yd 48 yd 48 yd U 42 yd 25 mm M T 40 mi 20 mm 25 mm 30 mi 48 m K 37 mm 20 mm 48 m S 30 mi 73 km 29 km 29 kmarrow_forwardGHUK PTSRQ. What is mz J? H Q I 77° 102° G 77° K J R 135° P T 123° Sarrow_forward
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