Question

In: Math

The null hypothesis plays an important role in significance testing. Explain the concept underlying the null...

The null hypothesis plays an important role in significance testing. Explain the concept underlying the null hypothesis and the role it plays in tests of statistical significance (hint: think of the logic involved in the decision making process).

Solutions

Expert Solution

please like me my solution sir/madam


Related Solutions

Significance leads to the importance of testing. What is the purpose of the null hypothesis?
  Significance leads to the importance of testing. What is the purpose of the null hypothesis? What is the purpose of the alternative hypothesis? Explain what inferences or decisions you are able to make and not make from the test.
The 5% (.05) significance level is the widely accepted criterion for Null Hypothesis Significance Testing. Discuss...
The 5% (.05) significance level is the widely accepted criterion for Null Hypothesis Significance Testing. Discuss some problems with using a strict cutoff to determine whether your findings were significant. Discuss how you can make sure that you are presenting your results more fairly/honestly. How can a confidence interval help with estimating the practical significance of your results?
Explain how the ideas of hypothesis testing and rejecting the null hypothesis can be related to...
Explain how the ideas of hypothesis testing and rejecting the null hypothesis can be related to confidence interval. Be sure to also consider the idea of one-sided confidence intervals.
please explain in here what is a (a) hypothesis (b) hypothesis testing (c) null hypothesis (d)...
please explain in here what is a (a) hypothesis (b) hypothesis testing (c) null hypothesis (d) alternative hypothesis and give an example with your explanation.
Null hypothesis significance testing (NHST) can provide critical information, but NHST is inadequate as the sole...
Null hypothesis significance testing (NHST) can provide critical information, but NHST is inadequate as the sole tool for statistical analysis. NHST has also been subject to many criticisms, but is still almost universally used by statisticians and others. One of the criticisms of NHST is that "Successfully rejecting the null hypothesis may offer no support for the alternative hypothesis." Discuss this criticism as well as the idea of NHST generally.
in hypothesis testing if the null hypothesis is rejected -the alternative hypothesis is likely to be...
in hypothesis testing if the null hypothesis is rejected -the alternative hypothesis is likely to be true - no conclusions can be drawn from the test -the data must have been accumulated incorrectly -the sample size has been to small
Explain the concept of comparative advantage and the role it plays in the development of trading...
Explain the concept of comparative advantage and the role it plays in the development of trading cities. List and explain any additional economic conditions necessary for the development of trading cities. Explain what additional conditions are necessary for the development of a factory city.
Consider the concept of budgeting, a widely practiced business process that plays an important role in...
Consider the concept of budgeting, a widely practiced business process that plays an important role in both decision management and control over those decisions. Discuss the incentives of salespeople to forecast sales [which would be used for planning purposes - production, purchasing] for future periods accurately if they are to receive a fixed bonus if they exceed their forecasts.
Please show all work and explain. You are testing the null hypothesis that there is no...
Please show all work and explain. You are testing the null hypothesis that there is no linear relationship between two variables X and Y. From your sample of n = 18, you determine that b1 = +4.5 and Sb1= 1.5. The value of t stat = coefficient/std error = 3. a) At the α = 0.05 level of significance, what are the critical values? b) Based on the information and your answer, what statistical decision should you make?
Please explain null versus alternative hypothesis (statistics hypothesis testing). Which is the pessimistic one?
Please explain null versus alternative hypothesis (statistics hypothesis testing). Which is the pessimistic one?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT