Question

___ non-directional test       ___ directional test      ___ alpha level           ___ null hypothesis     ___ alternative hypothe

___ non-directional test      

___ directional test     

___ alpha level          

___ null hypothesis    

___ alternative hypothesis      e.

___ rejection range    

___ inferential           

___ inference            

___ significance tests

___ statistical power

a. The hypothesis that is rejected or retained using inferential statistics and is often the opposite of what the researcher believes to be true.

b. The researcher hypothesizes that a given score will be either higher or lower than the chosen level of significance.

c. The likelihood of rejecting the null hypothesis given that the null hypothesis should be rejected.

d. The researcher predicts the two groups will differ, but does not predict which group will be higher.

e. Lies in one or both tails of the sampling distribution and indicates the sample values most unlikely to occur at the given level of significance.

f. The amount of type I error the researcher is willing to allow in the study.

g. Generally the research hypothesis; a statement of what occurs if the null hypothesis is rejected.

h. Determines the probability that the null hypothesis is true.

i. Used to infer correlation and causation.

j. Making a judgment on a population parameter based on sampling.

Homework Answers

Answer #1

d_ non-directional test      

b__ directional test     

f__ alpha level          

a__ null hypothesis    

g__ alternative hypothesis     

e__ rejection range    

i__ inferential           

j__ inference            

h__ significance tests

c__ statistical power

a. The hypothesis that is rejected or retained using inferential statistics and is often the opposite of what the researcher believes to be true.

b. The researcher hypothesizes that a given score will be either higher or lower than the chosen level of significance.

c. The likelihood of rejecting the null hypothesis given that the null hypothesis should be rejected.

d. The researcher predicts the two groups will differ, but does not predict which group will be higher.

e. Lies in one or both tails of the sampling distribution and indicates the sample values most unlikely to occur at the given level of significance.

f. The amount of type I error the researcher is willing to allow in the study.

g. Generally the research hypothesis; a statement of what occurs if the null hypothesis is rejected.

h. Determines the probability that the null hypothesis is true.

i. Used to infer correlation and causation.

j. Making a judgment on a population parameter based on sampling.

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
The 95% confidence interval is functionally equivalent to: A) non-directional hypothesis testing with a 0.05 alpha...
The 95% confidence interval is functionally equivalent to: A) non-directional hypothesis testing with a 0.05 alpha level. B) an interval based on a directional test with a 2.5% chance of Type I Error. C) the acceptable amount of Type I Error. D) an inferential test with a 5% chance of Type II Error. E) the likelihood of rejecting a false null 2.5% of the time.
Suppose that in a certain hypothesis test the null hypothesis is rejected at the .10 level;...
Suppose that in a certain hypothesis test the null hypothesis is rejected at the .10 level; it is also rejected at the .05 level; however it cannot be rejected at the .01 level. The most accurate statement that can be made about the p-value for this test is that: p-value = 0.01. p-value = 0.10. 0.01 < p-value < 0.05. 0.05 < p-value < 0.10. Complete the sentence: If we do not reject the null hypothesis, we conclude that _____....
research hypothesis stating the treatment effect in contrast to the statement of null effect alternative hypothesis...
research hypothesis stating the treatment effect in contrast to the statement of null effect alternative hypothesis central limit theorem sampling bias two-tailed test upper probability value allowed for rejecting the null hypothesis significance level parameter type 1 error two-tailed test drawing conclusions about a population from sample data empirical data inferential statistics discrete distribution random sampling Assume that a new treatment for helping alcoholics isn't any better than an old treatment. A researcher, who doesn't know this, designs a study...
What is the correct interpretation of the significance level α in a hypothesis test? Group of...
What is the correct interpretation of the significance level α in a hypothesis test? Group of answer choices a. The probability that Ha is true given that H0 is NOT rejected b. The probability that H0 is true given that H0 is rejected c. The probability of NOT rejecting H0 given that Ha is true d. The probability of rejecting H0 given that H0 is true
Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final...
Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. An article in a journal reports that 34% of American fathers take no responsibility for child care. A researcher claims that the figure is higher for fathers in the town of Littleton. A random sample of 234 fathers from Littleton yielded 96 who did not help with child care. Test the researcher's claim at the 0.05 significance level.
The null hypothesis in a hypothesis test refers to _____________. Multiple Choice the level of significance...
The null hypothesis in a hypothesis test refers to _____________. Multiple Choice the level of significance the default state of nature or status quo the probability of rejecting the alternative hypothesis when it is false a particular population parameter specified with the sign ≠
In a two-tailed hypothesis test of the mean using a 0.05 level of significance, researchers calculated...
In a two-tailed hypothesis test of the mean using a 0.05 level of significance, researchers calculated a p-value of 0.03. What conclusion can be drawn? The alternative hypothesis should be rejected because the p-value is so small. The null hypothesis is true because the p-value is less than the level of significance. The alternative hypothesis is 3% likely to be true. The null hypothesis should be rejected because the p-value is less than the level of significance. 1.The alternative hypothesis...
Would increasing the significance level of a hypothesis test increase or decrease the likelihood of a...
Would increasing the significance level of a hypothesis test increase or decrease the likelihood of a researcher making a Type I error?
If you conduct a hypothesis test and conclude the null hypothesis is rejected at a 5%...
If you conduct a hypothesis test and conclude the null hypothesis is rejected at a 5% level of significance, then it _____. a) will never be tested at the 1% level b) will always be rejected at the 1% level c) may be rejected or not rejected at the 1% level d) will always be accepted at the 1% 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.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT