Question

1) The process of inferring a population parameter from sample data is?

2) [x] is the probability distribution of values that might be obtained for an estimate of a population parameter.

3) The sample standard deviation (s) divided by the square root of the sample size (n) is the [x]

4 The [x] confidence interval provides a most-plausible range for a parameter. On average, these values calculated from independent random samples will include the value of the parameter 19 time out of 20.

5) A range of numbers within which the value of the target parameter is likely to be found is a [x]

6) A [x] allows us to describe the probability of any range of values for Y.

7) Two events are [x] if the occurence of one does not in any way inform to us about the probability that the other will also occur

8) The [x] is about "or" statements.

9) Only one [x] is observed from each repetition of a random tria

10) A graphical tool used to represent the probabilities of events is called a [x].

11) In a [x] test, the alternative hypothesis includes parameter values on only one side of the value specified by the null hypothesis.

12) The [x] of a test is the probability that a random sample will lead to rejection of a false null hypothesis

13) [x] error is rejecting a true null hypothesis. The significance level sets the probability of committing this type of error.

14) In a [x] test, the alternative hypothesis includes parameter values on both sides of the parameter value specified by the null hypothesis.

15)

[x] compares data to what we would expect to see if a specific null hypothesis were true.

[x] error is rejecting a true null hypothesis. The significance level sets the probability of committing this type of error.

Answer 1

1) the process of inferring a population parameter from a sample is called statistical inference (ESTIMATION).

2) Samplin Distribution is the probability distribution of values that might be obtained for an estimate of a population parameter.

3) The sample standard deviation (s) divided by the square root of the sample size (n) is the Standard errror

4) The 95% confidence interval provides a most-plausible range for a parameter. On average, these values calculated from independent random samples will include the value of the parameter 19 time out of 20.

5) A  range of numbers within which the value of the target parameter is likely to be found is a Confidence Interval

6) A probability distribution allows us to describe the probability of any range of values for Y.

7) Two events are independent if the occurence of one does not in any way inform to us about the probability that the other will also occur

11) In a hypothesis test, the alternative hypothesis includes parameter values on only one side of the value specified by the null hypothesis.

12) The power of a test is the probability that a random sample will lead to rejection of a false null hypothesis

13) Type I error is rejecting a true null hypothesis. The significance level sets the probability of committing this type of error.

14) In a both sided test, the alternative hypothesis includes parameter values on both sides of the parameter value specified by the null hypothesis.