Question

TRUE OR FALSE we perform a hypothesis test to estimate the population parameter

TRUE OR FALSE

we perform a hypothesis test to estimate the population parameter

Homework Answers

Answer #1

Ans : TRUE                                                                                                                                  

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
We perform a hypothesis test to test a statement about the population, and determine whether that...
We perform a hypothesis test to test a statement about the population, and determine whether that population does or does not support the sample information test a statement about a sample statistic develop a confidence interval for a population parameter test a statement about a population parameter, and determine whether the sample evidence supports that statement as a chosen level of significance.
True/False: An estimator used for estimating some parameter, is expected to estimate the population parameter without...
True/False: An estimator used for estimating some parameter, is expected to estimate the population parameter without error. True False
A confidence interval estimate of a population parameter contains the unlikely values of that parameter. True...
A confidence interval estimate of a population parameter contains the unlikely values of that parameter. True False
Assume the claim was null hypothesis.  If the analysis contradicted the null about a population parameter then...
Assume the claim was null hypothesis.  If the analysis contradicted the null about a population parameter then the alternative is supported, i.e., the claim is not supported. True                 b.   False The null hypothesis is considered correct until proven otherwise. True                 b.   False If the claim is that a population parameter is not a specific value, the particular type of problem would be considered a one-tailed test. True                 b.   False If the null hypothesis is rejected, this tells us that the alternative is absolutely true. True                 b.   False Hypothesis testing...
A hypothesis test for a population mean is to be performed. True or False: The probability...
A hypothesis test for a population mean is to be performed. True or False: The probability of a Type I error is equal to the significance level.
True or False: The higher the level of significance of a hypothesis test, the stronger the...
True or False: The higher the level of significance of a hypothesis test, the stronger the evidence we require to reject the null hypothesis. True or False: The purpose of a hypothesis test is to assess the evidence in favour of the null hypothesis. True or False: The higher the p-value of a hypothesis test, the more evidence we have to reject the null hypothesis.
True or False: The higher the level of significance of a hypothesis test, the stronger the...
True or False: The higher the level of significance of a hypothesis test, the stronger the evidence we require to reject the null hypothesis. True or False: The purpose of a hypothesis test is to assess the evidence in favour of the null hypothesis. True or False: The higher the p-value of a hypothesis test, the more evidence we have to reject the null hypothesis.
For a small sample hypothesis test, we need to be able to assume the population is...
For a small sample hypothesis test, we need to be able to assume the population is normally distributed. True False
True/False: Different samples will produce different interval estimates of the mean parameter of the population. True...
True/False: Different samples will produce different interval estimates of the mean parameter of the population. True False
True or False 1. Hypothesis tests are robust to the significance level you choose, meaning regardless...
True or False 1. Hypothesis tests are robust to the significance level you choose, meaning regardless of the alpha level: .10, .05, or .01, our test will have the same conclusion or result. 2. If alpha is greater than the p-value, then we reject the null hypothesis. 3. The p-value is strictly the probability the null hypothesis being true. 4. Hypothesis tests are accessing the evidence provided by the data and deciding between two competing hypotheses about the population parameter....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT