Midterm Flashcards

(44 cards)

1
Q

The difference between the highest and lowest score

A

Range

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2
Q

A grouping or category defined by a lower and upper limit

A

Class interval

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3
Q

The true limit

A

Class boundaries

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4
Q

Middle value or midpoint of a class interval

Best representative of class interval

A

Class mark

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5
Q

Percentage distribution in every class interval

A

Relative frequency

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6
Q

Number of observations belonging to a class interval

A

Class frequency

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7
Q

Tabular arrangement of data by class intervals whose frequency is cumulated

A

Cumulative frequency distribution

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8
Q

Sum of frequencies for each ci is less than upper class boundary

A

Less than cumf

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9
Q

Sum of frequency for each ci is greater than lower class boundary

A

Greater than cumf

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10
Q

Tabular arrangement of data showing proportion in percent of each frequency to the total frequency

A

Relative frequency distribution

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11
Q

Formula for R

A

R=HS -LS

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12
Q

Formula for i

A

i = R/ci

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13
Q

Formula for class mark

A

Class mark = UL + LL / 2

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14
Q

Formula for rel. freq.

A

RF = f/n x 100

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15
Q

Rounding rule for i

A

Round off

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16
Q

Tabular arrangement of the gathered data

A

Frequency distribution

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17
Q

It is used when the values are not all equally represented

A

Weighted mean

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18
Q

Formula for wgtd mean

A

Wgtd mean = wgtd freq / freq

19
Q

Is found by first adding all the scores and then dividing by the number of scores

Most sensitive and reliable

20
Q

Rounding rule for mean

21
Q

Properties of mean

A

Sum of deviations from mean = 0

Total sum of negative deviations = positive deviations

If added or multiplied to each score, mean will also multiply or add

May not exist in the distribution

All variables under investigation are computed

Mean is efficient

Mean is unique

Mean is fulcrum or balance point of distribution

22
Q

Disadvantages of mean

A

Mean can take fractional value

Mean is sensitive: strongly influenced by outliers

23
Q

Uses of mean

A

Variables are measured at the interval-ratio

Anticipate standard deviation

24
Q

Is an extremely high or an extremely low data value when compared with the rest of the data values

25
Point on the scale of measurement that divides a series of ranked observations into halves
Median
26
When n is an odd number
Ex. N=7 | Md = 7/2 = 3.5= 4th (rounded up) = 4th score
27
When N is an even number
Ex. N=6 | Md= 6/2=3rd + 4th/2
28
Properties of median
Positional measure Most representative average Most reliable in open-ended distribution Unique Exists in any distribution
29
Uses of median
Variables are measured in ordinal or interval-ratio level when distribution is skewed More stable measure of central tendency is needed
30
Point on the measurement scale with the maximum frequency
Mode
31
40,45,46,47,47,48,49,50 Mo=
47
32
40,45,47,48,49,50
No mode. | It is wrong to say 0
33
40,40,42,42,44,44,45,47 Mo=
40,42 | Bimodal
34
Properties of mode
Used for nominal data Center of concentration Does not always exist Not always unique Does not take into consideration all values
35
Uses of mode
Quickest estimate of central value Report most common score
36
Properties of range
Simplest measure of dispersion Easiest to understand Rough estimate of variability
37
Average of the squares of the distance of each value from mean
Variance
38
Square root of variance
Deviation
39
Used of variance and deviation
Determine spread of data Consistency of variable Used inferential statistics Determine number of values that fall within specified intervals Minimum value of 0
40
Divide distribution into 4 parts
Quartiles
41
How many quartiles
3
42
Divide distribution into 10 equal parts
Decile
43
Values that divide distribution into 100 parts
Percentiles
44
Scores above mean | Scores below mean
+ deviation | - deviation