Question

In: Statistics and Probability

A sample of 103 observations indicated that X1 is 93. A second sample of 155 observations...

A sample of 103 observations indicated that X1 is 93. A second sample of 155 observations indicated that X2 is 82. Conduct a z-test of hypothesis about a difference in population proportions using a 0.02 significance level.

  H0: p1 - p2 ≥ 0
  H1: p1 - p2 < 0

a) State the decision rule.
Reject H0 in favour of H1 if the computed value of the statistic is between -2.33 and 2.33.
Reject H0 in favour of H1 if the computed value of the statistic is less than -2.05.
Reject H0 in favour of H1 if the computed value of the statistic is between -2.05 and 2.05.
Reject H0 in favour of H1 if the computed value of the statistic is less than -2.05 or greater than 2.05.
Reject H0 in favour of H1 if the computed value of the statistic is greater than 2.33.
Reject H0 in favour of H1 if the computed value of the statistic is less than -2.33 or greater than 2.33.
None of the above.


b) Compute the pooled proportion.
For full marks your answer should be accurate to at least four decimal places.

Pooled proportion: 0



c) What is the value of the test statistic?
For full marks your answer should be accurate to at least three decimal places.

Test statistic: 0


d) What is your decision regarding H0?
There is sufficient evidence, at the given significance level, to reject H0, and accept H1 or at least there is not enough evidence to reject H1.
There is insufficient evidence, at the given significance level, to reject H0.
There is insufficient evidence to reject or not reject the null hypothesis.

Solutions

Expert Solution

a) Reject H0 in favour of H1 if the computed value of the statistic is less than -2.05.

b) pooled proportion is 0.67 83

c) test statistic value is 6.2 96

d) do not reject null hypothesis.

please like ??


Related Solutions

A sample of 120 observations indicated that X1 is 77. A second sample of 153 observations...
A sample of 120 observations indicated that X1 is 77. A second sample of 153 observations indicated that X2 is 89. Conduct a z-test of hypothesis about a difference in population proportions using a 0.05 significance level.   H0: p1 - p2 = 0   H1: p1 - p2 ≠ 0 a) State the decision rule. Reject H0 in favour of H1 if the computed value of the statistic is between -1.96 and 1.96. Reject H0 in favour of H1 if the...
A sample of 112 observations indicated that X1 is 100. A second sample of 146 observations...
A sample of 112 observations indicated that X1 is 100. A second sample of 146 observations indicated that X2 is 97. Conduct a z-test of hypothesis about a difference in population proportions using a 0.04 significance level.   H0: p1 - p2 = 0   H1: p1 - p2 ≠ 0 a) State the decision rule. Reject H0 in favour of H1 if the computed value of the statistic is less than 2.05. Reject H0 in favour of H1 if the computed...
Let X1, X2, X3, and X4 be a random sample of observations from a population with...
Let X1, X2, X3, and X4 be a random sample of observations from a population with mean ? and variance ?2. Consider the following two point estimators of ?: b1= 0.30 X1 + 0.30 X2 + 0.30 X3 + 0.30 X4 and b2= 0.20 X1 + 0.40 X2 + 0.40 X3 + 0.20 X4 . Which of the following constraints is true? A. Var(b1)/Var(b2)=0.76 B. Var(b1)Var(b2) C. Var(b1)=Var(b2) D. Var(b1)>Var(b2)
We have a random sample of observations on X: x1, x2, x3, x4,…,xn. Consider the following...
We have a random sample of observations on X: x1, x2, x3, x4,…,xn. Consider the following estimator of the population mean: x* = x1/2 + x2/4 + x3/4. This estimator uses only the first three observations. a) Prove that x* is an unbiased estimator. b) Derive the variance of x* c) Is x* an efficient estimator? A consistent estimator? Explain.
Suppose we have a random sample of n observations {x1, x2, x3,…xn}. Consider the following estimator...
Suppose we have a random sample of n observations {x1, x2, x3,…xn}. Consider the following estimator of µx, the population mean. Z = 12x1 + 14x2 + 18x3 +…+ 12n-1xn−1 + 12nxn Verify that for a finite sample size, Z is a biased estimator. Recall that Bias(Z) = E(Z) − µx. Write down a formula for Bias(Z) as a function of n and µx. Is Z asymptotically unbiased? Explain. Use the fact that for 0 < r < 1, limn→∞i=1nri...
Consider all observations as one sample of X (1st column) and Y (Second column) values. Answer...
Consider all observations as one sample of X (1st column) and Y (Second column) values. Answer the following questions: 78 4.4 74 3.9 68 4 76 4 80 3.5 84 4.1 50 2.3 93 4.7 55 1.7 76 4.9 58 1.7 74 4.6 75 3.4 80 4.3 56 1.7 80 3.9 69 3.7 57 3.1 90 4 42 1.8 91 4.1 51 1.8 a) Calculate the correlation coefficient r b) Fit the regression model (prediting Y from X) and report...
Here is your (discrete) data 108 83 93 118 88 58 88 65 113 103 119...
Here is your (discrete) data 108 83 93 118 88 58 88 65 113 103 119 101 91 92 95 86 85 73 94 61 121 71 116 78 114 119 118 131 41 70 68 98 202 155 41 93 78 96 93 110 100 61 98 39 94 86 108 75 64 50 90 123 109 69 118 85 102 86 153 109 89 134 80 104 96 129 48 81 102 31 97 130 98 105 109...
Suppose X1, . . . , XM is a set of M observations representing the Binomial...
Suppose X1, . . . , XM is a set of M observations representing the Binomial probability model. please explain and write neatly so I can understand.. (a) Write out the likelihood function. (b) Write out the log-likelihood function. (c) Find the score function by taking the partial derivative of the log-likelihood function. (d) Set the score function equal to zero and solve for the parameter p. (e) Take the second partial derivative of the score function. (f) Check to...
Consider the independent observations x1, x2, . . . , xn from the gamma distribution with...
Consider the independent observations x1, x2, . . . , xn from the gamma distribution with pdf f(x) = (1/ Γ(α)β^α)x^(α−1)e ^(−x/β), x > 0 and 0 otherwise. a. Write out the likelihood function b. Write out a set of equations that give the maximum likelihood estimators of α and β. c. Assuming α is known, find the likelihood estimator Bˆ of β. d. Find the expected value and variance of Bˆ
A lab tested a random sample of 155 chicken eggs for their level of cholesterol. The...
A lab tested a random sample of 155 chicken eggs for their level of cholesterol. The average of the sample was 198 milligrams. The standard deviation of all eggs of this type is known to be 14.1 milligrams. What is the 95% confidence interval for the true mean cholesterol content of this type of chicken egg?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT