Q.9) Given that, sample size ( n ) = 32
sample mean = 70
population variance = 400
population standard deviation
The null and the alternative hypotheses are,
Test statistic is,
Since, it is left-tailed test,
p-value = P(Z < -2.83) = 0.0023
p-value = 0.0023
9, A random sample is obtained from a population with variance = 400 and the sample...
A random sample is obtained from a population with variance = 400 and the sample mean is computed to be 70. Consider the null hypothesis Ho: µ = 80 versus the alternative H1: Ho: µ < 80. Compute the p-value. If n = 16, the p-value is ?
A random sample of n=25 is obtained from a population with variance σ^2, and the sample mean is computed. Test the null hypothesis H0 : μ = 110 versus the alternative hypothesis H1: μ>110 with α=0.01. Compute the critical value (Xc overbar) and state your decision rule for the options below. a. The population variance is σ^2=256. b. The population variance is σ^2=400. c. The population variance is σ^2=900. d. The population variance is σ^2=500.
A 13.09 up to 19.35 B. 12.54 up to 19.9 C. 13.25 up to 19.19 D. 12.24 up to 20.2 set Selection 4 of 18-Q15 stion 14 of 18 1.0 Points Click to is obtained from a population with variance 400 and the sample mean is computed to be 70, consider the null hypothesis Ho: μ 80 versus the alternative H1: Ho: μ < 80. Compute the p- value. If n = 25, the p-value is □ Mark for Review...
A simple random sample of 59 adults is obtained from a normally distributed population, and each person's red blood cell count (in cells per microliter) is measured. The sample mean is 5.27 and T-Test the sample standard deviation is 0.52. Use a 0.01 significance level and the given calculator display to test the claim that the sample is from a population with a mean less than 54, which is a value μ 5.4 often used for the upper limit of...
9.6 in order to compare the means of two populations, inde- NW pendent random samples of 400 observations are selected from each population, with the following results Sample 1 Sample 2 $.240 s2 200 5,275 1150 a. Use a 95% confidence interval to estimate the dif- ference between the population means (μ,-μ Interpret the confidence interval. b. Test the null hypothesis Ho (μι-μ)--0 versus the c. Suppose the test in part b were conducted with the d. Test thenull hypothesis...
A random sample of size n= 15 obtained from a population that is normally distributed results in a sample mean of 45.8 and sample standard deviation 12.2. An independent sample of size n = 20 obtained from a population that is normally distributed results in a sample mean of 51.9 and sample standard deviation 14.6. Does this constitute sufficient evidence to conclude that the population means differ at the a = 0.05 level of significance? Click here to view the...
To test Ho: σ=4.6 versus H1: σ≠4.6, a random sample of size n=11 is obtained from a population that is known to be normally distributed. (a) If the sample standard deviation is determined to be s=5.6, compute the test statistic. (b) If the researcher decides to test this hypothesis at the α=0.01 level of significance, use technology to determine the P-value. (c) Will the researcher reject the null hypothesis?
A random sample is obtained from a population with a mean of LaTeX: \mu μ = 20. After a treatment is administered to the individuals in the sample, the sample mean is M = 21.65 with a variance of s2 = 9 and standard deviation s = 3. Assuming that the sample consists of n = 36, use a two-tailed hypothesis with LaTeX: \alpha α = .05 to determine the value of t. Report the t value to two decimal...
A simple random sample of 42 adults is obtained from a normally distributed population, and each person's red blood cell count (in cells per microliter) is measured. The sample mean is 5.25 and the sample standard deviation is 0 52 Use a 0.01 significance level and the given calculator display to test the claim that the sample is om a population with a mean less than 54, which s a value often used or the upper limit of the range...
Consider the following point estimators, W, X, Y, and Z of μ: W = (x1 + x2)/2; X = (2x1 + x2)/3; Y = (x1 + 3x2)/4; and Z = (2x1 + 3x2)/5. Assuming that x1 and x2 have both been drawn independently from a population with mean μ and variance σ2 then which of the following is true...Which of the following point estimators is the most efficient? A. Z B. W C. X D. Y An estimator is unbiased...