computer integrated assessment

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Computer Integrated assessment

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Computer Integrated assessment. Computer integrated assessment. Normal distribution & z-scores. Normal distribution and z-scores. Normal distribution. z-scores. Normal distribution. The normal distribution is a special kind of symmetrical distribution. - PowerPoint PPT Presentation

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Page 1: Computer Integrated assessment

ComputerIntegrated

assessment

Page 2: Computer Integrated assessment

Computer integrated assessmentComputer integrated assessment

Normal distribution & z-scores

Page 3: Computer Integrated assessment

Normal distribution and z-scoresNormal distribution and z-scores

Normal distribution

z-scores

Page 4: Computer Integrated assessment

Normal distributionNormal distribution

Normal distribution & z-scores

The normal distribution is a special kind of symmetrical distribution.

The normal distribution is used to make comparisons among scores or other kinds of statistical decisions.

The normal distribution is hypothetical.

No distribution of scores matches the distribution perfectly.

Page 5: Computer Integrated assessment

Properties of a normal distributionProperties of a normal distribution

Normal distribution & z-scores

In the curve (normal distribution) below the mean, mode and median coincide.

The mean, mode and median is 61 in the curve below.

The standard deviation in the distribution below is 7.

Normal distribution of test scores

Scores

f

61 68 75 82544740

Page 6: Computer Integrated assessment

Properties of a normal distributionProperties of a normal distribution

Normal distribution & z-scores

Normal distribution of test scores

Scores

61 68 75 82544740

f

0

10

20

30

40

50

60

70

M +1 SD +2 SD +3 SD-1 SD-2 SD-3 SD

34.13%34.13% 13.59% 2.14% 0.13%13.59%2.14%0.13%

Page 7: Computer Integrated assessment

Properties of a normal distributionProperties of a normal distribution

Normal distribution & z-scores

Normal distribution of test scores

Scores

61 68 75 82544740

f

0

10

20

30

40

50

60

70

M +1 SD +2 SD +3 SD-1 SD-2 SD-3 SD

34.13%34.13% 13.59% 2.14% 0.13%13.59%2.14%0.13%

Percentage of scores below 61.

2 + 14 + 34 = 50%

Page 8: Computer Integrated assessment

Properties of a normal distributionProperties of a normal distribution

Normal distribution & z-scores

Normal distribution of test scores

Scores

61 68 75 82544740

f

0

10

20

30

40

50

60

70

M +1 SD +2 SD +3 SD-1 SD-2 SD-3 SD

34.13%34.13% 13.59% 2.14% 0.13%13.59%2.14%0.13%

Percentage of scores above 61.

34 + 14 + 2 = 50%

Page 9: Computer Integrated assessment

Properties of a normal distributionProperties of a normal distribution

Normal distribution & z-scores

Normal distribution of test scores

Scores

61 68 75 82544740

f

0

10

20

30

40

50

60

70

M +1 SD +2 SD +3 SD-1 SD-2 SD-3 SD

34.13%34.13% 13.59% 2.14% 0.13%13.59%2.14%0.13%

Percentage of scores between 47 and 61.

14 + 34 = 48%

Page 10: Computer Integrated assessment

z-scoresz-scores

Raw test scores from any distribution can be converted to a common scale.z-scores can easily be compared.

z =X - MSD

z = z-score

X = Obtained raw test score

M = Mean of the test scores

SD = Standard deviation of test scores

Normal distribution & z-scores

Page 11: Computer Integrated assessment

z-scoresz-scores

John obtained 85% in the first mathematics test and 90% in the second mathematics test.First mathematics test: Mean = 75%; SD = 10Second mathematics test: Mean = 85%; SD = 15Calculate the z-scores for John for both tests.

First test:

z =X - MSD

z =85 - 75

10

z =1010

z = 1

Second test:

z =X - MSD

z =90 - 85

15

z =515

z = 0.333

The z-scores can be compared.John performed better in the first test than second test.The reason: the z-score for John’s second test is lower than the z-score for John’s first test.

Normal distribution & z-scores