Confidence Intervals and Hypothesis TestingTOPIC NAMEChoosing an appropriate sample size EspañolMany college graduates who are employed full-time have longer than 40-hour work weeks. Suppose that we wish to estimate the mean number ofhours, μ, worked per week by college graduates employed full-time. We'llchoose a random sample of college graduates employed full-time and usethe mean of this sample to estimate μ. Assuming that the standarddeviation of the number of hours worked by college graduates is 6.00 hoursper week, what is the minimum sample size needed in order for us to be90% confident that our estimate is within 1.5 hours per week of μ?Carry your intermediate computations to at least three decimal places.Write your answer as a whole number (and make sure that it is theminimum whole number that satisfies the requirements).(If necessary, consult a list of formulas.)0X

given data, population standard deviation =6.00CI=0.90α=1-0.90=0.10E=1.5 sample size n=?

Answered: Many college graduates who are employed…

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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The estimated standard error of the mean for a relevant sampling distribution provides an indicator of: The average or standard amount we expect a sample mean to differ from the population mean, if the null hypothesis is true The average or standard amount we expect two study condition means to differ from one another in a repeated measures study design due to chance, if the null hypothesis is true All of these answers are correct The average or standard amount we expect two sample group means to differ from one another in an independent groups study design due to chance, if the null hypothesis is true
Question Help ▼ We've seen how to compare the means of two samples with known population variances (refer, for instance, to Example 4 in Recitation 11), but when we need to compare the means of two samples with unknown (but assumed to be equal) population variances, a method called 'variance pooling' needs to be used to find the 'pooled sample variance' that should be used when calculating the confidence interval. The pooled variance is given by s (n-1) +s (n2 -1) pool n, +n, -2 with v=n, + n2 -2 degrees of freedom (see page 308 of your e-book). Now look at the example below correct. Production engineers need to compare the average efficiencies of two production processes. Process 1 and Process 2 are sampled 12 and 13 times and they yielded average efficiencies of 79 and 70 (out of 100), respectively The sample standard deviations are 4 and 3 again, respectively Help them construct a 90% confidence interval, assuming that efficiency values are Normally distributed with equal variances.…
• On what situations in chance experiments can the following probability distributions be used? • Sampling Distributions (part 3 on module 4) • Explain sampling distributions (part 3 on module 4) and how does it affect the parameters and random variables of a characteristic of sample and population.
A random sample of 25 men's pulse rates shows a mean of 72 beats per minute and a standard deviation of 13 beats per minute. A researchers wants to estimate the population mean pulse rate for all men. What type of statistical inference will we use to answer this question? Group of answer choices Hypothesis Test Confidence Interval
Using statistical terminology, data sets, and various graphical displays, please provide a scenario that will satisfy all of the following conditions.
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Safari File Edit View History Bookmarks Window Help Wed 7:59 A myopenmath.com МyOpenMath b My Questions | bartleby is a students gpa qualitative or quantitaive - Google Search A political candidate has asked you to conduct a poll on the average number of children her constituents have. If the candidate only wants a 1 child margin of error at a 90% confidence level and assuming o = 6, what sample size is needed? (Note: Round your critical value to three decimal places before computing.) 59 29 97 60 O 98 30 Submit Question
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SAMPLING Sample s Fiammant Source Saunders er al (2009) 1. Explain your understanding on the key elements as presented in Figure 1. 2. When developing a questionnaire, identify the possible bias that will lead for the occurrence of unethical issues in terms of: Researcher Respondent Measurement 3. Identify the sources of error in the questionnaire development.
Sleeping outlier: A simple random sample of ten college freshmen were asked how many hours of sleep they typically got per night. The results were 8.5 8. 6.5 7.5 6. 8.5 24 6.5 9.5 Send data to Excel Notice that one joker said that he sleeps 24 a day. Part 1 of 3 (a) The data contain an outlier that is clearly a mistake. Eliminate the outlier, then construct a 98% confidence interval for the mean amount of sleep from the remaining values. Round the answers to at least two decimal places. A 98% confidence interval for the mean amount of sleep from the remaining values is 6.41 <µ< 9.15 Part: 1 /3 Part 2 of 3 (b) Leave the outlier in and construct the 98% confidence interval. Round the answers to at least two decimal places. If the outlier is included the 98% confidence interval is <µ< .
QUESTIONS A Hi-Tech company has introduced a new flash disk. Some dealers and customers have complained that some of the new disks are defective. In order to investigate this the company randomly tested n disks and found that 6.65% were defective. Find the appropriate sample size necessary to achieve a margin of error of 0.041 in order to construct a 90% confidence interval for the proportion of all flash disks that are defective. Round your answer to the nearest integer (whole number).
Question: Does the age distribution of laying hens varies between different species? Find the variables used to answer the question above information to help you: variable used: depending on the choice of analysis, write down the variables linked to the question confidence interval for a mean: indicate the quantitative variable linked the the confidence interval hypothesis test on two means: indicate what the qualitative variable is used to create the groups and indicate the quantitative variable used during the test (group variable & measured variable) Chi-Square Test: indicate what are the two qualitative variables used to create the two factors during the test (categorical variable 1 & categorical variable 2) linear regression: indicate what is the independent quantitative variable (honrizontal axis) and indicate what is the dependent quantitative variable (vertical axis)

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