BIOE

Question 1

Population, constant regardless of sample/ unkown

Answer 1

PARAMETER

Question 2

Variable, sample

Answer 2

STATISTICS

Question 3

Is the act of paying attention to something in order to gain information

Answer 3

OBSERVATION/DESCRIPTIVE

Question 4

LOGICAL INTERPRETATION OR EXPLANATION OF THE OBSERVATION

Answer 4

INFERENCE

Question 5

USES FIVE SENSES

Answer 5

OBSERVATION/DESCRIPTIVE

Question 6

MENTAL PROCESS

Answer 6

INFERENTIAL

Question 7

IS A CONCLUSION REACHED ON THE BASIS OF EVIDENCE AND REASONING

Answer 7

INFERENTIAL

Question 8

FACILITATE UNDERSTANDING, ANALYSIS, INTERPRETATION OF DATA

Answer 8

DESCRIPTIVE

Question 9

ESTIMATION OF PARAMETERS AND HYPOTHESIS TESTING

Answer 9

INFERENTIAL

Question 10

COMPUTATION OF MEASURES OF CENTRAL TENDENCY AND VARIABILITY. TABULATION AND GRAPHICAL PRESENTATION

Answer 10

DESCRIPTIVE

Question 11

METHODS OF SUMMARIZING AND PRESENTING DATA

Answer 11

DESCRIPTIVE

Question 12

Process of generalizing
conclusions about the target
population on the basis of
results obtained from a
sample.

Answer 12

STATISTICAL INFERENCE

Question 13

Uses sample statistics to
determine the unknown
parameters of the population

Answer 13

STATISTICAL INFERENCE

Question 14

measures computed using data

from the entire population

Answer 14

PARAMETERS

Question 15

measures computed using data

from the sample

Answer 15

STATISTICS

Question 16

Process by which the statistic computed from a random sample is
used to approximate the corresponding parameter in the population.

Answer 16

ESTIMATION

Question 17

PROCESS OF ESTIMATION

Answer 17

1. GET DATA FROM SAMPLE RESPONDENTS
2. CALCULATE THE SUMMARY MEASURES (STATISTIC)
3. USE STATISTIC TO ESTIMATE PARAMETER VALUE

Question 18

Process of deciding whether or not a hypothesis about the target
population is true based on the sample data.

Answer 18

HYPOTHESIS TESTING

Question 19

• a statement about the population

- usually something about the value of the parameters

Answer 19

HYPOTHESIS

Question 20

PROCESS OF HYPOTHESIS TESTING

Answer 20

1. GET THE DATA FROM THE SAMPLE
2. CALCULATE STATISTICS
3. APPLY STATISTICAL TESTS
4. DECISION

Question 21

Frequency distribution of the statistic computed from each of all the
possible samples of the population

Answer 21

SAMPLING DISTRIBUTION OF A STATISTIC

Question 22

Knowing the properties of the sampling distribution will help in:

Answer 22

1. ESTIMATING POPULATION PARAMETERS

2. TEST HYPOTHESIS ABOUT POPULATION PARAMETERS

Question 23

TF The sampling distribution of statistical mean reflects the frequency distribution of
sample means of all possible samples of size n.

Answer 23

T

Question 24

TF Population parameter is generally known

Answer 24

F

Question 25

TF Sampling distribution cannot be constructed in reality

Answer 25

T

Question 26

TF The best estimate of the population mean (U) is the mean of the sample mean (x)

Answer 26

T

Question 27

Only applicable when the sample is RANDOM

Answer 27

POINT ESTIMATE

Question 28

point estimate Identify: • Variable: • Population: • Sample:

Answer 28

QUANTITATIVE, PARAMETER WANTED, RANDOM

Question 29

TF statistical mean is an estimate of population mean and they are equal

Answer 29

F

Question 30

Interval constructed is called:

Answer 30

CONFIDENCE LEVEL

Question 31

- from literature | - from previous studies

Answer 31

POPULATION STANDARD DEVIATION Z TEST

Question 32

IF POPULATION SD IS ABSENT WE WILL USE?

Answer 32

STATISCAL SD T TEST

Question 33

Variable of interest of population proportion is

Answer 33

QUALITATIVE

Question 34

TF In sampling distribution of population propotions, The sampling distribution of p reflects the frequency distribution of population proportions of all possible samples of size n

Answer 34

F- POPULATION - T- SAMPLE

Question 35

TF The distribution is normally distributed in sampling distribution of population proportion.

Answer 35

T

Question 36

decision is towards

Answer 36

null hypothesis

Question 37

is towards alternative hypothesis

Answer 37

conclusion

Question 38

• A non-parametric test that test the association between two variables.

Answer 38

CHI-SQUARE TEST OF INDEPENDENCE

Question 38

• A parametric test used in determining relationship between | two set of data.

Answer 38

Pearson r (Bivariate - 2 variables)

Question 39

A non-parametric test used to find out if there is a significant relationship between 2 variables.

Answer 39

Spearman rank (rs)

Question 40

- The joint distribution of the variables x and y is also a normal distribution

Answer 40

Pearson r (Bivariate - 2 variables)

Question 41

Under correlation analysis

Answer 41

``` Spearman rank (rs) Pearson r (Bivariate - 2 variables) ```

Question 42

• Qualitative Description of Coefficient of Correlation

Answer 42

Pearson r (bivariate - 2 variables)

Question 43

– used to measure both the strength and the direction of the relationship between two quantitative variable. Done through the computation of the correlation coefficient.

Answer 43

Correlation analysis

Question 44

used coefficient in interval/ratio

Answer 44

pearson r

Question 45

used coefficient for ordinal data

Answer 45

spearman rank

Question 46

TF in pearson r, the closer the value to one, the greater the strength of linear relationship

Answer 46

T

Question 47

The value in pearson r indicates?

Answer 47

magnitude

Question 48

- we will test for the existence of relationship or association between two qualitative variables in a single population.

Answer 48

CHI-SQUARE TEST OF INDEPENDENCE

Question 49

We will we will test whether or not variable x is associated with variable y

Answer 49

CHI-SQUARE TEST OF INDEPENCE