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Welcome to…. The Exciting World of Descriptive Statistics in Educational Assessment!. Type Nominal scale -Uses numbers for identification Ordinal scale - Uses numbers for ranking Interval scale - Uses numbers for ranking when units are equidistant - PowerPoint PPT PresentationTRANSCRIPT
Welcome to…
The Exciting World of Descriptive Statistics in Educational Assessment!
Numerical Scales
Type1. Nominal scale-Uses numbers for identification
2. Ordinal scale- Uses numbers for ranking
3. Interval scale- Uses numbers for ranking when units are equidistant
4. Ratio scale-This scale has qualities of equidistant units and absolute zero.
Descriptive Statistics- Statistics used to organize and describe data
Type
• Measures of Central Tendency- Statistic methods for observing how data cluster around the mean
• Normal Distribution-A symmetrical distribution with a single numerical representation for mean, median, and mode
• Measures of Dispersion-Statistical methods for observing how data spread from the mean.
Counting the Data-Frequency
•Look at the set of data that follows on the nextslide.
•Each time a score occurred, a tally mark wasmade to count it
•Which number most likely represents the average score?
•Which number is the most frequently occurring score?
Frequency Distribution
Scores1009998949089888275746860
Tally11111111111111 111111 11111111 111111
Frequency112257
1062111
AverageScore?
Most FrequentScore?
Tally
1 1 11 11 1111
1111
11
1111
111
111
11 1
11 1 1 1
This frequency count represents data that closely represent a normal distribution.
Frequency Polygons
Data100 8999 8998 8998 8994 88 94 8890 7590 7590 7490 6890 60
5
4
3
2
1
60 68 74 75 88 89 90 94 98 99 100
Scores
Freq
uenc
y
Measures of Central TendencyMean, Median, and Mode
Mean- The arithmetic average of a set of scores
Median-The middlemost point in a set of data
Mode- The most frequently occurring score in a set of data
Mean- To find the mean, simply add the scores and divide by the number of scores in the set of data.
98 + 94 + 88 + 75 = 355
Divide by the number of scores: 355/4 = 88.75
Median-The Middlemost point in a set of data
Data Set 110099999897969088858079
Data Set 2100100999897868278727068
Median96
Median
Mode-The most frequently occurring score in a set of data.
Find the modes for the following sets of data:
Data Set 3998989898975
Mode: Data set 499888887877270
Mode:
Measures of Dispersion
Range- Distance between the highest and lowest scores in a set of data.
100 - 65 = 35
RANGE
Variance-Describes the total amount that a set of scores varies from the mean.
1. Subtract the mean from each score.
When the mean for a set of data is 87, subtract87 from each score.
100 - 87 = 13 98- 87 = 11 95- 87 = 8 91- 87 = 4 85- 87 = -2 80- 87 = -7 60- 87 = -27
2. Next-Square each difference(multiply each difference by itself)
13 x 13 = 16911 x 11 = 1218 x 8 = 649 x 4 = 16-2 x -2 = 4 -7 x -7 = 49-27x -27 = + 729
3. Sum these
Sum of squares
VARIANCE (Continued)
4. Divide the sum of squares by the number of scores.
_____divided by_____ = ______
VARIANCE (Final Step)
VARIANCE
1. To find the standard deviation, find the square root of the variance.
Standard Deviation-Represents the typical amount that a score is expected to vary from the mean in a set of data.
√_____ = ______Std. Deviation
1. find the deviation score (x-M)2. Divide deviation score by standard deviation
Z score- represents the score in terms of standard deviation units
(x-M)/SD = Z score
Properties of a Normal Distribution orThe “Bell Curve”
• The mean, median, and mode are represented by the same numerical value.
• Both sides of the curve are symmetrical
• Anything that occurs naturally and is measurable will be distributed in a normal distribution when sufficient data are collected.
How “normal” is the population?
Properties of a Skewed Distribution
Positively Skewed:
• More scores fall below the mean
• Median occurs below the mean
• Mode occurs below the median
Negatively Skewed:
• More scores fall above the mean
• Median occurs above the mean
• Mode occurs above the median
Watch out for extrem
e scores!
Z Scores- derived scores that are expressed in standard deviation units
A student received a Z score of 2 on a recent statewide exam. What does the 2 mean?
This indicates that the student’s score was 2 standard deviations above the mean for that test.