Midterms

Question 1

data planning is also called

Answer 1

statistical analysis

Question 2

process of organizing the raw data for data analysis to assure accuracy of the data for consistency,

Answer 2

Data Analysis Planning

Question 3

completeness and systematic arrangement to facilitate coding and tabulation

Answer 3

Data Analysis Planning

Question 4

branch of mathematics that transforms data into useful information for decision-makers..

Answer 4

Statistics

Question 5

2 types of statistics

Answer 5

Descriptive Statistics
Inferential Statistics

Question 6

2 groups are in Desriptive Analysis

Answer 6

Measure of Central Tendency
Measure of Dispersion

Question 7

Measure of location

Answer 7

Measure of central tendency

Question 8

Describes a set of scores on one particular variable for some group

Answer 8

Measures of central tendency

Question 9

Statistical analysis under the measure of central tendency

Answer 9

Mean
Median
Mode

Question 10

Arithmetic average of a set of data

Answer 10

Mean

Question 11

Some of the observed values in the distribution divided by the number of observations

Answer 11

Mean

Question 12

Used to calculate mean for grouped data such as responses in likert scale

Answer 12

Weighted mean

Question 13

Midpoint of the distribution

Answer 13

Median

Question 14

arrange the items from lowest to highest and find the middle value

Answer 14

Median

Question 15

Most frequently occurring value in a set of observations

Answer 15

Mode

Question 16

Tools to figure out the spread or distribution of data

Answer 16

Measures of dispersion

Question 17

Describe how dispersed the data values are from and around the measure of central tendency

Answer 17

Measures of dispersion

Question 18

If it is around the mean it is __________

Answer 18

Clustered values

Question 19

If it is farther from the mean, it is ___________

Answer 19

Scattered values

Question 20

What are the statistical analysis tools in the measure of dispersion?

Answer 20

Range
standard deviation
interquartile range
variance
kurtosis

Question 21

How to find the range?

Answer 21

Find the difference between the largest and smallest values in a dataset

Question 22

Dispersion for the middle 50% of the values of a particular numerical

Answer 22

Interquartile range

Question 23

Values are arranged from lowest to largest, then divided into four parts or quartile

each quartile contains 25% of the values

Answer 23

Interquartile range

Question 24

What to do in interquartile range

Answer 24

Focuse on the middle/ 50% of the data and ignores extreme values such as 25% and 75%

Question 25

Measure of a tailedness of a distribution

Answer 25

Kurtosis

Question 26

Is how often outliers occur

Answer 26

Tailedness

Question 27

What does datasets with high kurtosis suggest?

Answer 27

It has a heavy tail or has plenty of outliers

Question 28

How is the kurtosis represented

Answer 28

Graphs and illustrations

Question 29

Measures of variability

Answer 29

Variance

Question 30

Tells how much different values for a given set deviate from the mean value

Answer 30

Variance

Question 31

Allows critical observations wherein large values or attributions differs greatly

Answer 31

Varience

Question 32

Zero variance means data values in the set are....?

Answer 32

Exactly the same

Question 33

Often presented as square of standard deviation to avoid getting negative values making interpretation difficult

Answer 33

Variance

Question 34

Measure of the spread or variation of data about the mean

Answer 34

Standard deviation

Question 35

Most common way of measuring a linear correlation

Answer 35

Pearson r correlation

Question 36

Describes correlation or the variation of one go with another

Answer 36

Parson r correlation

Question 37

Three main types of t-test

Answer 37

Independent sample t-test Paired sample t-test one sample t-test

Question 38

Collecting, summarizing, and describing data

Answer 38

Descriptive statistics

Question 39

Drawing conclusions and making decisions conserving a population based only on sample data

Answer 39

Inferential statistics