Directions: Given the following information, ca a step-by-step procedure. 1. H: = 84 H: 84 2. H: = 45 H = 87, 10, n=35, = 0.05
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- (b) Find the critical values) and identify the rejection region(s).(b) Find the critical value(s) and identify the rejection region.When α = .10, what is the rejection region that should be used to testH_0:σ1/2=σ2/2 against H_0:σ1/2>σ2/2 Assume v1 = 10 and v2 = 12. A. F > 2.33 B. F > 1.74 C. F > 2.78 D. F > 2.04
- Answer the following: 1. Test Stat 2. Critical Region: Select one: a. T1.761 c. T>2.14 d. T>abs(2.145) 3. Conclusion: At 5% level of significance… Select one: a. the new type of fabric does not exceed the WRA of the top current brand b. the new type of fabric exceeds the WRA of the top current brandFind the t critical values using the information in the table. set hypothesis ? df a) ? > 0 0.025 19 b) ? < 0 0.005 30 c) ? < 0 0.250 2 d) ? > 0 0.100 14 Critical Value: A: B: C: D:Set D = {(x, y) ∈ R2: 0 ≤ x ≤ 1, 0 ≤ y ≤√x} and let (X, Y) be evenly distributed on D Calculate P (Y> X). Please explain so I understand to be able to solve similar kind of questions..
- Draw a free body diagram of the following APPLICATION OF FIRST ORDER LDE (Mixture) 300 gallons of brine solution and 40 pounds of salt are stored in a massive tank. A concentration of 3 lbs/gal is pumped in at a rate of 4 gal/min. At a rate of 3 gal/min, the concentration is pushed out of the tank. After 12 minutes, how much salt is left in the tank?(b) Find the critical value(s) and identify the rejection region(s). Enter the critical value(s) below.The temperature distribution in the planar region D is given as: T(x, y) = y − x2 (◦C). Find the average temperature on the plate in region D bounded by y = x, x = 0, and y = 1.
- Use the substitution method to find the antiderivative of the following: shoe complete solutionintegrate ƒ over the given region. ƒ(x, y) = x2 + y2 over the triangular region with vertices (0, 0), (1, 0), and (0, 1)Consider the data set below. x 3 7 5 9 7 4 y 7 5 6 5 1 5 For a hyopthesis test, where H0:β1=0 and H1:β1≠0, and using α=0.05, give the following: (a) The test statistic. t= (b) The degree of freedom. df= (c) The rejection region. |t|> The final conclustion is A. There is not sufficient evidence to reject the null hypothesis that β1=0. B. We can reject the null hypothesis that β1=0 and accept that β1≠0.