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(a) identify the claim and state H0H_0 and HaH_a, (b) find the critical value, (c) find the test statistic, (d) decide whether to reject or fail to reject the null hypothesis, and (e) interpret the decision in the context of the original claim. A physician claims that lower back pain intensity scores will decrease after taking anti-inflammatory drugs. The table shows the lower back pain intensity scores for 12 patients before and after taking anti-inflammatory drugs for 8 weeks. At α=0.05\alpha=0.05, is there enough evidence to support the physician’s claim?

Patient123456Intensity score (before)71.042.179.157.564.060.4Intensity score (after)60.123.486.262.144.249.7Patient789101112Intensity score (before)68.395.248.178.665.459.9Intensity score (after)58.372.651.882.563.247.9\begin{matrix} \text{Patient} & \text{1} & \text{2} & \text{3} & \text{4} & \text{5} & \text{6}\\ \text{Intensity score (before)} & \text{71.0} & \text{42.1} & \text{79.1} & \text{57.5} & \text{64.0} & \text{60.4}\\ \text{Intensity score (after)} & \text{60.1} & \text{23.4} & \text{86.2} & \text{62.1} & \text{44.2} & \text{49.7}\\ \text{Patient} & \text{7} & \text{8} & \text{9} & \text{10} & \text{11} & \text{12}\\ \text{Intensity score (before)} & \text{68.3} & \text{95.2} & \text{48.1} & \text{78.6} & \text{65.4} & \text{59.9}\\ \text{Intensity score (after)} & \text{58.3} & \text{72.6} & \text{51.8} & \text{82.5} & \text{63.2} & \text{47.9}\\ \end{matrix}

In all parts of this problem, let V be the set of all vectors x˙\dot x in R4\mathbb{R}^{4} such that x3=x1+x2x_{3}=x_{1}+x_{2} and x4=x2+x3.x_{4}=x_{2}+x_{3}. a. Represent V as the kernel of a matrix M. Find the rank of M and the dimension of V. Show that

B=([1011][0112])\mathfrak B=\left(\left[\begin{array}{l} 1 \\ 0 \\ 1 \\ 1 \end{array}\right] \cdot\left[\begin{array}{l} 0 \\ 1 \\ 1 \\ 2 \end{array}\right]\right)

is a basis of V. b. Find all vectors of the form

[1rr2r3]\left[\begin{array}{c} 1 \\ r \\ r^{2} \\ r^{3} \end{array}\right]

that are contained in V. (Be prepared to deal with irrational numbers.) Can you form a basis B\mathfrak B of V consisting of such vectors? c. Consider the linear transformation

T[x1x2x3x4]=[x2x3x4x3+x4]T\left[\begin{array}{l} x_{1} \\ x_{2} \\ x_{3} \\ x_{4} \end{array}\right]=\left[\begin{array}{c} x_{2} \\ x_{3} \\ x_{4} \\ x_{3}+x_{4} \end{array}\right]

from R4\mathbb{R}^{4} to R4.\mathbb{R}^{4}. If x is a vector in V show that T(x) is in V as well. Thus, T induces a linear transformation from V to V, which we will denote by F. d. Find the matrix A of F with respect to the basis A\mathfrak A from part (a). [Note that A will be a 2×22 \times 2 matrix, since dim(V)=2.] e. Find the matrix B of F with respect to your basis B\mathfrak B from part (b). f. Find the change of basis matrix S=SBA.S=S_{\mathfrak B \rightarrow \mathfrak A}. g. Write an equation relating the matrices A, B, and S and check that this equation holds for the matrices you found in parts (d), (e), and (f).

Question

Describe the test statistic for the runs test when the sample sizes n1n_1 and n2n_2 are less than or equal to 20 and when either n1n_1 or n2n_2 is greater than 20.

Solution

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When both sample sizes are at most 20, then the value of the test statistic is the number of runs GG.

When at least one of the sample size is more than 20, then the value of the test statistic is z=GμGσGz=\frac{G-\mu_G}{\sigma_G} where μG=2n1n2n1+n2+1\mu_G=\frac{2n_1n_2}{n_1+n_2}+1 and σG=2n1n2(2n1n2n1n2)(n1+n2)2(n1+n21)\sigma_G=\sqrt{\frac{2n_1n_2(2n_1n_2-n_1-n_2)}{(n_1+n_2)^2(n_1+n_2-1)}}

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