A study was done to use the GRE Quantitative scores of male students enteringPhD programs to determine if they would be predictive of the student completingtheir PhD program. The results were as follows:nX Sx9 694 83.6Completed PhDGave up PhD 7 727 73.7(a) Find a 99% confidence interval for the difference in the average GRE Quantitativescores for males completing their PhD and those giving up. Can you assert thatthey are different with 99% confidence? Assume the GRE scores of both groupsfollow normal distributions with equal variances.(b) Test Ho 0₁ = 02 against Ho: 0₁ 02 using the significnce a =‡01assumption in part (a) reasonable?0.1. Is the

n1=9, x¯1=694, sx1=83.6n2=7, x¯2=727, sx2=73.7

Answered: (8) A study was done to use the GRE…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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1 The results below are based on a sample of 20 employees selected to study the relationship between income (Y, in $1,000) and four variables: Age (X1, in years), work experience (X2,in years), number of years of education (X3), and number of past jobs (X4). Find the lower end point in a 90% confidence interval for the change in the mean salary in dollars, for a unit change in number of past jobs, assuming that the other predictors remain unchanged. Note that normality is assumed for the multiple regression model. Standard Coeffcient Error Intercept-9.611198 2.77988638 Age 1.327695 0.1149193 Experience -0.106705 0.14265559 7.311332 0,80324187 Educ PastJobs -0.504168 0.44771573 Type your numerical answer here. Numbera only
A researcher is interested in the impact of joining a weight loss program in the past 12 months on the individuals weight loss. The analysis was restricted to people age 16 and older who answered yes to the question "During the past 12 months, have you tried to lose weight?" About 5% of the sample had joined a weight loss program in the past year. 1. The researcher has decided to use propensity score analysis. What would be the appropriate estimator for this analysis: Average treatment effect, average treatment effect on the treated or average treatment effect on the untreated? Provide a justification for your choice.
During the 2009 holiday season, 436 randomly sampled American adults were surveyed regarding their average spending on Black Friday. A 95% confidence interval based on this sample is ($80.31,$89.11). (c) Determine the sample mean x and the sample standard deviation s of the sample. (d) Which would be the confidence level corresponding to an interval ($81.27,$88.15) for the data found in (c)? (e) If the values of the sample mean and sample standard deviation found in (c) do not change, find the sample size N for which a 99% confidence interval would have a margin of error smaller than 5.
Hoaglin, Mosteller, and Tukey (1983) presented data on blood levels of beta-endorphin as a function of stress. They took beta-endorphin levels for 19 patients 12 hours before surgery and again 10 minutes before surgery. The data are presented below, in fmol/ml Construct a 95% confidence limits on the true mean difference between endorphin levels at the two times described. Participant 12 hours before 10 minutes before 1 10 6.5 2 6.5 14.0 3 8.0 13.5 4 12 18 5 5.0 14.5 6 11.5 9.0 7 5.0 18.0 8…
The following table shows 1000 Engineer school applicants classified according to scores made on a college entrance examination and the quality of the high school from which they graduated, as rated by a group of educators: Quality of High Schools Superior Scores Average Low 300 100 High 260 340 A 95% confidence interval for the population proportion of applicants that a low score on the examination and graduated from an average high school is: (0.081 , 0.118) None of these (0.271,0.328) O (0.310, 0.369)
same questions different problem 2.1/12
9.2.3
QUESTION 1 A company claims that the mean weight of coffee in its 16-ounce bags is 16.05 ounces. Consumer advocates group constructed the following 95% confidence interval (16.09, 16.12). Based on this interval, do you think that the company's claim is plausible at the 5% significance level? 16.05 lies in the interval (16.09, 16.12), so we do not reject the manufacturer's claim. 16.05 does not lie in the interval (16.0, 16.2), so we reject the manufacturer's claim. Not enough information to answer the question. 16.05 does not lie in the interval (16.09, 16.12), so we reject the company's claim.
At what age do infants speak their first word of English? Here are 20 data of children (age in month) 15 26 10 9 15 20 18 11 8 20 7 9 10 11 11 10 12 17 11 10 whAt is 99% confidence interval for the mean age at which children speak first words? Upper limit? lower limit?
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