Q2: Data Presentation & Interpretation

Question 1

it is one of the most essential part of your research study that can win the hearts of all the readers.

Answer 1

Data Presentation and Analysis

Question 2

it is the process wherein the collectedd data are checked.

Answer 2

editing

Question 3

its main purposee is for checking the consistency, accuracy, organization and clariity of the data collected.

Answer 3

editing

Question 4

can be done manually or with assisstance of a computer or combination of both

Answer 4

editing

Question 5

Process wherein the collected data are categorized and organized.

Answer 5

coding

Question 6

process of arranging data.

Answer 6

tabulation

Question 7

after editing, coding and tabulating, graphical or visual way of presentation

Answer 7

Non-prose Mateirals

Question 8

It helps summarize data using the columns and rows.

Answer 8

Tables

Question 9

It contains heading that indicate the most important information about your study

Answer 9

tables

Question 10

Focuses on how a change in one variable relates to another. Uses bars, lines, circles and pictures representing the data.

Answer 10

Graphs

Question 11

Type of Graph that illlustrates trends and changes in data over time

Answer 11

Line Graph

Question 12

Type of Grpah the illustrates comparissons of amounts and quantities.

Answer 12

Bar Graph

Question 13

Type of graph that displays the relationship of parts as a whole

Answer 13

Pie Graph

Question 14

6 statistical techniques

Answer 14

1.Percentage
2. Mean
3. Standard Dev
4. Correlation Analysis (Pearsons’s R)
5. Regression Analysis
6. Hypothesis Testing

Question 15

it is any proportion from the whole

Answer 15

Percentage

Question 16

Formula for Percentage

Answer 16

(%)=(part/whole)x100

Question 17

Middlemost value of your list of values and thtis can be obtained byadding all the values and divide the obtained sun to the nu,ber of values

Answer 17

Mean or average

Question 18

formula for mean

Answer 18

(x)=(sum of all values)/(number of values)

Question 19

This shows the spread of data around the mean

Answer 19

Standrd Dev

Question 20

It is a statistical method used to estimate the strength of relationship between two quantitative variables.

Answer 20

Correlation Analysis (Pearson’s R)

Question 21

Used to explain the relationship between dependetn and independent variables

Answer 21

regression analysis

Question 22

3 major uses of regression analysis

Answer 22

1. causal analysis
2. forecasting an effect
3. linear trend forecasting

Question 23

shows you the possible causation of changes in Y by changes in x

Answer 23

Causal Analysis

Question 24

allows your to estimate and predict the calue of y given the value of x

Answer 24

forecasting an effect

Question 25

helps you trace the line best fit to line series

Answer 25

line trend forecasting

Question 26

helps you determine some quantity under a given assumption. the outsomce tells you whether the assumptions holds or it is violated

Answer 26

hypothesis testing

Question 27

the test value falls in the critical region on one side of the mean, the null id rejected

Answer 27

one-tailed test (elft or right tailed)

Question 28

nul shoud be rejected when the rest value falls in either of the two critical regions

Answer 28

twwo-tailed test

Question 29

reject null when it is true

Answer 29

Type 1 error

Question 30

do not reject the null when it is false

Answer 30

Type II Error

Question 31

it is used to determine whether the obeserved tet stat s more extreme thana defind critical val

Answer 31

the critical val approach

Question 32

involves determining the probability of observing a more extreme test stat in the directino of the alternative hypothesis than the one observed.

Answer 32

P-val approach