The measures how accurate the point estimate is likely to be in estimating a parameter. standard deviation degree of unbiasedness interval estimate margin of error confidence level why are confidence intervals preferred over significance tests by most researchers? they provide a range of plausible values for the parameter they allow use to accept the null hypothesis if the hypothesis value is contained within the interval since confidence intervals have a level of confidence associated with them, they give us more confidence in our decision regarding the null hypothesis they indicate whether or not the hypothesis parameter value is plausible all of these an interval estimate is typically preferred over a point estimate because i) it gives us a sense of accuracy of the point estimate ii) we know the probability that it contains the parameter (e. g., 95%) iii) it provides us with more possible parameter values i only ii only both i and ii all of these iii only

The confidence interval measures how accurate the point estimate is likely to be in estimating a parameter.

A confidence interval communicates how accurate our estimate is likely to  be.

The confidence interval is a range of of all plausible values of the random variable under test at a given confidence level which is expressed in percentage such as 98%, 95% and 90% of confidence level.  

The standard deviation is the parameter to signify the  dispersion of data around  the mean value of the data.

Researchers prefer it because    on the basis of the percentage of certainty in the test result of  null hypothesis are accepted or rejected as it includes some chance for errors too. (example  95% sure means 5% not sure) also this gives a range of values and hence good chance to normalize errors.    

An interval estimate is typically preferred over a point estimate because

i) it gives us a sense of accuracy of the point estimate

ii) we know the probability that it contains the parameter (e.g., 95%)

iii) it provides us with more possible parameter values

I only

II only  

both I and II  

all of these

III only

All three statements above are true hence all of these is  the answer.

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Standard deviation.

Step-by-step explanation:

The standard deviation measures how accurate the point estimate is likely to be in estimating a parameter.

1)is not similar since corresponding sides are not in the same ratio

2)are similar since corresponding sides are in the same ratio and corresponding angles are equal

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