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Consider the data to be 1, 2, 4, 0, 5, 7, 8 and 6. Calculate the MLE estimator for exponential distribution.
A survey is being planned to estimate the prevalence of secondary infertility amongst couples aged 20-45. The investigators expect the prevalence to be 10%, and would like to estimate it to within
Use the PS power calculator to find out how many supermarkets and local corner shops are required (assume equal group), if we are going to conduct a similar study to investigate the difference in co
Identify the primary outcome measure and calculate using PS-sample size program to determine the power of the primary outcome measure, stating clearly the measures that were used to arrive at the r
Identify the primary outcome measure and calculate using PS-sample size program to determine the power of the primary outcome measure, stating clearly the measures that were used to arrive at the re
At alpha = 0.05, test the Mall's manager claim. Perform an appropriate hypothesis test, showing the necessary calculations and/or explaining the process used to obtain the results.
Use the correct formula to find the probability that, out of 25 customers, exactly 10 of them make a purchase. Show your calculations or explain how you found the probability.
Research shows that the life time of Everlast automobile tires is normally distributed with a mean value of 65,000 miles and a standard deviation of 6,500 miles. What is the probability of having a
The mean hours of Internet usage by adults in the US in claimed to be 25 hours per week. A hypothesis test is performed at a level of significance of 0.05 with a P-value of 0.08. Choose the best i
Based on this linear regression equation, estimate the expected grade for a student spending 8 hours studying. Round your answer to two decimal places.
Scores are obtained on the subjects both before and after the treatment. After subtracting the after scores from the before scores, the average difference is computed to be -2.13 with a sample stand
She is using an alpha value of .10 to conduct this test. Assume the populations are normally distributed. The observed t value is:
A random sample of 64 items is taken from the second population yielding a mean of 158 with a variance of 625. Compute a 94% confidence interval for the difference in population means.
The sample mean for City B is $207 with a standard deviation of $65. Assuming an alpha of .05, the observed z value is:
A researcher desires to estimate the difference in means of two populations. To accomplish this, she takes a random sample of 81 items from the first population.
Formulate a hypothesis related to this statement that you could test. How would you test it?
What is the variable cost per unit produced? Compute the coefficient of determination. What percentage of the variation in totalcost can be explained by production volume?
Use the ANOVA procedure for factorial designs to test for any significant effects due to type of design, size of advertisement,or interaction. Use a .05.
Perform a logarithmic transformation on the dependent variable. Develop an estimatedregression equation using the transformed dependent variable. Do the model assumptions appear to be satisfied by u
Construct a time series plot. What type of pattern exists in the data?
You compute the components of a one-way ANOVA table, and you find MSB = 12 and MSW = 2. The critical value for the F test is 2.45. What is your test decision?
Suppose you form a confidence interval for a sample average and the population standard deviation is known. What happens to the width of the confidence interval as the sample size (n) increases?
Use the given information to find the P-value. Also, use a 0.05 significance level and state the conclusion about the null hypothesis (reject the null hypothesis or fail to reject the null hypothesi
Assume grape prices for a region are normally distributed. Does the data you obtained provide enough evidence to support your belief? Conduct a hypothesis test at 1% level of significance and clearl
According to a recent research report, the average monthly household mobile phone bill is $73. Suppose monthly household mobile phone bills are normally distributed with a standard deviation of $11.