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1. Consider again the situation described in Exercise 11 of Sec. 9.6. Test the null hypothesis that the variance of the fusion time for subjects who saw a picture of the object is no smaller than the variance for subjects who did see a picture. The alternative hypothesis is that the variance for subjects who saw a picture is smaller than the variance for subjects who did not see a picture. Use a level of significance of 0.05.

Short Answer

Expert verified

Reject the null in favor of the alternative at level 0.05

Step by step solution

01

Given the information

Let X be the time taken to fuse a random dot stereogram for the first group.

Let Y be the time taken to fuse a random dot stereogram for the second group.
The sample size for the first group is m=43 and for the second group, it is n=35.

02

Finding the null hypothesis by using the level of significance of 0.5.

The hypotheses under scrutiny are

H0 : σ12 ≤ σ22 H1 : σ1222

Then, under the observed data, From Exercise 11 Sx2= 2745.7 and Sy2=783.9.

The F statistic is

\begin{aligned}F=\frac{_S{x}^{2}}{m}\times\frac{n}{s{_{y}}^{2}}\end{aligned}

\begin{aligned}=\frac{2745.7}{43}\times\frac{35}{783.9}\end{aligned}

\begin{aligned}=\frac{63.853}{22.397}\end{aligned}

\begin{aligned}=2.850\end{aligned}

F=2.850

Test statistics follows a null F distribution with degrees of freedom 42 and 34 respectively. Reject the null hypothesis for large values of F, or precisely, if

F< F42,34-1(0.95).

Here, F=2.850

While the cutoff value isF< F42,34-1(0.95)= 1.737, By using F table.

Since the F statistic exceeds the cutoff value, reject the null at level 0.05 in favor of the alternative.

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Most popular questions from this chapter

Consider again the conditions of Exercise 4, and suppose thatα(δ)is required to be a given valueα0 (0 < α0< 1). Determine the test procedureδfor whichβ (δ)will be a minimum, and calculate this minimum value.

Suppose that \({X_1},....,{X_{10}}\)form a random sample from a normal distribution for which both the mean and the variance are unknown. Construct a statistic that does not depend on any unknown parameters and has the \(F\)distribution with three and five degrees of freedom.

Suppose that the proportion p of defective items in a large, manufactured lot is unknown, and it is desired to test the following simple hypotheses:

H0: p = 0.3,

H1: p = 0.4.

Suppose that the prior probability that p=0.3 is 1/4, and the prior probability that p = 0.4 is 3/4; also suppose that the loss from choosing an incorrect decision is 1 unit, and the loss from choosing a correct decision is 0. Suppose that a random sample of n items is selected from the lot. Show that the Bayes test procedure is to reject H0 if and only if the proportion of defective items in the sample is greater than

\begin{aligned}log\frac{7}{6}+\frac{1}{n}log\frac{1}{3}-log\frac{9}{14}\end{aligned}

An unethical experimenter desires to test the following hypotheses:

\(\begin{array}{*{20}{l}}{{{\bf{H}}_{\bf{0}}}{\bf{:}}}&{{\bf{\theta = }}{{\bf{\theta }}_{\bf{0}}}}\\{{{\bf{H}}_{\bf{1}}}{\bf{:}}}&{{\bf{\theta }} \ne {{\bf{\theta }}_{\bf{0}}}}\end{array}\)

She draws a random sample \({{\bf{X}}_{\bf{1}}}{\bf{, \ldots ,}}{{\bf{X}}_{\bf{n}}}\) from a distribution with the p.d.f. \(f(x\mid \theta )\), and carries out a test of size \(\alpha \). If this test does not reject \({{\bf{H}}_{\bf{0}}}\), she discards the sample, draws a new independent random sample of \(n\)observations, and repeats the test based on the new sample. She continues drawing new independent samples in this way until she obtains a sample for which \({{\bf{H}}_{\bf{0}}}\) is rejected.

a. What is the overall size of this testing procedure?

b. If \({{\bf{H}}_{\bf{0}}}\) is true, what is the expected number of samples that the experimenter will have to draw until she rejects \({{\bf{H}}_{\bf{0}}}\) ?

2. Suppose that a random variable X has the F distribution with three and eight degrees of freedom. Determine the value of c such that Pr(X>c) = 0.975

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