dfhh

Question 1

The value or range of values used to approximate a parameter is called an

Answer 1

estimate

Question 2

Is the process used to calculate population parameters by analyzing only a small random sample from the population. (Closest)

Answer 2

ESTIMATION

Question 3

• refers to a single value that best determines the true parameter value of the population.

Answer 3

POINT ESTIMATE

Question 4

• gives a range of values within which the parameter value possibly falls.

Answer 4

INTERVAL ESTIMATE

Question 5

an estimate is said to be unbiased when the expectation (i.e. the mean) of all the estimates taken from samples with size n is shown to be equal to the parameter being estimated

Answer 5

UNBIASEDNESS

Question 6

is achieved when the estimate produced a relatively smaller standard error. This may be done by increasing the sample used to estimate the population parameter. As the sample size increases, the value of the estimator approaches the value of the parameter being estimated.

Answer 6

CONSISTENCY

Question 7

from all the unbiased estimators of the population parameter, the efficient estimator is the one that gives the smallest variance.

Answer 7

EFFICIENCY

Question 8

of a population parameter is a sample statistic used to represent the true value of a parameter, and you endeavour to find the “best” point estimate for a given parameter.

Answer 8

POINT ESTIMATION

Question 9

A good decision that would influence us to use one estimator over another would be if the sample mean is equal to the population mean

Answer 9

This is known as UNBIASED ESTIMATOR

Question 10

is a range (interval) of values that is likely to contain the true value of the parameter. An interval estimate is associated with the degree of confidence.

Answer 10

interval estimate

Question 11

is a measure to determine if the population parameter is within the interval. Therefore, it describes the probability that corresponds to the two tails of the normal curve distribution.

Answer 11

degree of confidence (α)

Question 12

Confidence levels correspond to probabilities (or percentages of area) associated with the normal curve. (t or f)

Answer 12

T

Question 13

which is also called the maximum error of the estimate can be determined using the formula
E = zα/2 * σ/√𝑛:

Answer 13

MARGIN OF ERROR (E)

Question 14

The process of making generalizations about the characteristics of the entire population through sample statistics.

Answer 14

HYPOTHESIS TESTING

Question 15

Is a tentative presupposition or an inference made in order to predict the occurrence of a phenomenon.

Answer 15

HYPOTHESIS

Question 16

Is a claim about the value of a population parameter or about the values of several population parameters.

Answer 16

STATISTICAL HYPOTHESIS

Question 17

This is called the null hypothesis, denoted by

Answer 17

H₀

Question 18

alternative hypothesis, denoted as

Answer 18

Hₐ

Question 19

the assertion that contradicts the null hypothesis is called the

Answer 19

alternative hypothesis

Question 20

The first of these is a statement of the value to which the population parameter is equal, such as the mean, which is presumed to be true.

Answer 20

null hypothesis

Question 21

directional test, which is also called the

Answer 21

one-tailed test

Question 22

the standard test used in many researches and it compares the population parameter in both directions (left and right) of the bell curve

Answer 22

nondirectional test, the two-tailed test

Question 23

an English statistician who developed the t-distribution, which is used instead of the z-distribution for doing inferential statistics on the population mean when the population standard deviation is unknown and the population is normally distributed.

Answer 23

WILLIAM S. GOSSET

Question 24

The t-distribution function is basically the same as the z-distribution function, the difference being only the replacement of the population standard deviation with the sample standard deviation ( T or F)

Answer 24

T

Question 25

a measure of how many values can vary in a sample statistic.

Answer 25

degree of freedom (df)

Question 26

the t-distribution is also symmetric about the mean which is equal to 1. (T or F)

Answer 26

F - 0

Question 27

Characteristics of the t-distribution

Answer 27

It is a bell-shaped curve symmetrical about the mean. The mean of the distribution is equal to 0 and is located at the center of the distribution. The curve is asymptotic to the x-axis. The variance of the distribution is equal to 𝑑𝑓/(𝑑𝑓 −2), where df is the degree of freedom. The variance of the distribution is always greater than 1.

Question 28

is reached when the p-value (probability value) of obtaining the sample statistic is less than the set level of significance.

Answer 28

Significance

Question 29

The critical region is based on a value called the ____ which is usually determined using an appropriate distribution table based on the test statistic.

Answer 29

critical value