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Q: Researchers are studying yield of a crop in two locations The researchers are going to compare two independent 90 percent confidence intervals for the mean yield in each location The probability that?
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Is The probability at which the null hypothesis can be rejected with confidence is known as level of significance?

Yes.


What does a confidence interval for a population mean constructed from sample data show?

A confidence interval of x% is an interval such that there is an x% probability that the true population mean lies within the interval.


Does the confidence interval always contain the true population parameter?

No, the confidence interval (CI) doesn't always contain the true population parameter. A 95% CI means that there is a 95% probability that the population parameter falls within the specified CI.


What is asymmetrical confidence interval?

A confidence interval, for a given probability, is the interval within which the true value may be found with that probability if the null hypothesis is true. There are two possible reasons why a confidence interval may be asymmetrical. One is that the alternative hypothesis is asymmetrical: for example, H0 is X = 5 and H1 is X > 5 (rather than X ≠ 5). The other possible reason is that the test statistic has an asymmetrical distribution. Either of these can give rise to asymmetrical CIs.


In a confidence interval what information does the margin of error provide?

The confidence interval consists of a central value and a margin of error around that value. If it is an X% confidence interval then there is a X% probability that the true value of the statistic in question lies inside the interval. Another way of looking at it is that if you took repeated samples and calculated the test statistic each time, you should expect X% of the test statistics to fall within the confidence interval.

Related questions

What confidence level has become the most used or traditional confidence level among business researchers?

95% confidence level is most popular


Is The probability at which the null hypothesis can be rejected with confidence is known as beta?

no


The expected value is what kind of aspect of how probability distribution is characterized?

Expected value is the outcome of confidence of how probability distribution is characterized. If the expected value is greater than the confidence interval then the results are significant.


Is The probability at which the null hypothesis can be rejected with confidence is known as level of significance?

Yes.


What does a 95 percent confidence interval tell you about the population proportion?

There is a 95% probability that the true population proportion lies within the confidence interval.


Why do you use confidence intervals?

Statistical estimates cannot be exact: there is a degree of uncertainty associated with any statistical estimate. A confidence interval is a range such that the estimated value belongs to the confidence interval with the stated probability.


If the standard deviation is doubled what will be the effect on the confidence interval?

The confidence intervals will increase. How much it will increase depends on whether the underlying probability model is additive or multiplicative.


What are the characteristics for Willie Apiata?

Courageous, Independent, Brave, Humble, Confidence


What does a confidence interval for a population mean constructed from sample data show?

A confidence interval of x% is an interval such that there is an x% probability that the true population mean lies within the interval.


Becoming financially independent will help you with which of these positive personal qualities?

confidence and self-esteem


What are the problem a researcher face while doing his research in India?

There are some problems faced by the researcher while conducting research.The lack of a scientific training in the methodology of research is a great impediment for researchers in our country. There is paucity of competent researchers. Many researcher stake a leap in the dark without knowing research methods. Most of the work, which goes in the name of research is not methodologically sound. Research to many researchers and even to their guides, is mostly a scissor and paste job without any insight shed on the collated materials. The consequence is obvious, vi., the research results, quite often, do not reflect the reality or realities. Thus, a systematic study of research methodology is an urgent necessity. Before undertaking research projects, researchers should be well equipped with all the methodological aspects. As such, efforts should be made to provide shortcutting courses for meeting this requirement.There is insufficient interaction between the university research departments on one sideband business establishments, government departments and research institutions on the other side. A great deal of primary data of non-confidential nature remain untouched/untreated by the researchers for want of proper contacts. Efforts should be made to develop satisfactory liaison among all concerned for better and realistic researches. There is need for developing some mechanisms of a university-industry interaction programmer so that academics can get ideas from practitioners on what needs to be researched and practitioners can apply the research done by the academics.Most of the business units in our country do not have the confidence that the material supplied by them to researchers will not be misused and as such they are often reluctant in supplying the needed information to researchers. The concept of secrecy seems to be sacrosanct to business organizations in the country so much so that it proves an impermeable barrier to researchers. Thus, there is the need for generating the confidence that the information/data obtained from a business unit will not be misused.Research studies overlapping one another are undertaken quite often for want of adequate information. This results in duplication and fritters away resources. This problem can be solved by proper compilation and revision, at regular intervals, of a list of subjects on which and the places where the research is going on. Due attention should be given toward identification of research problems in various disciplines of applied science which are of immediate concern to the industries.There does not exist a code of conduct for researchers and inter-university and interdepartmental rivalries are also quite common. Hence, there is need for developing a code of conduct for researchers which, if adhered sincerely, can win over this problem.Many researchers in our country also face the difficulty of adequate and timely secretarial assistance, including computer assistance. This causes unnecessary delays in the completion of research studies. All possible efforts be made in this direction so that efficient secretarial assistance is made available to researchers and that too well in time. University Grants Commission must play a dynamic role in solving this difficulty.Library management and functioning is not satisfactory at many places and much of the time and energy of researchers are spent in tracing out the books, journals, reports, etc.,rather than in tracing out relevant material from them.There is also the problem that many of our libraries are not able to get copies of old and new Acts/Rules, reports and other government publications in time. This problem is felt more in libraries which are away in places from Delhi and/or the state capitals. Thus,efforts should be made for the regular and speedy supply of all governmental publications to reach our libraries.There is also the difficulty of timely availability of published data from various government and other agencies doing this job in our country. Researcher also faces the problem on account of the fact that the published data vary quite significantly because of differences in coverage by the concerning agencies.There may, at times, take place the problem of conceptualization and also problems relating to the process of data collection and related things.


What is meant by the term confidence intervals?

Confidence intervals represent a specific probability that the "true" mean of a data set falls within a given range. The given range is based off of the experimental mean.