$val){ $i++; ?> Html->image('right.png'); $icon_wrong = $this->Html->image('wrong.png'); foreach ($quizoptions AS $key => $val){ ?>

Name

$intvalindex+1) $result = $floatval*($data[$intvalindex+1] - $data[$intvalindex]) + $data[$intvalindex]; else $result = $data[$intvalindex]; } return $result; } ?>

Overall Descriptive Statistics Summary

Group Size
Mean
Standard Deviation
Variance
Highest Posssible Score
Highest Obtained Score
Lowest Obtained Score
Range of Scores
90th Percentile Score
75th Percentile Score
25th Percentile Score
10th Percentile Score

Above is a table that represents the distribution of scrores in several different ways:

Group Size: It is the total number of student(s) attemped the quiz.

Mean: It is the average score obtained by the all the student(s) who attemped the quiz.

Standard Deviation: A quantity calculated to indicate the extent of deviation for a group as a whole.

Veriance: The average of the squared differences from the Mean.

Range of Scores: It is the difference between highest obtained score and lowest obtained score.

nth Percentile: It is the score at or below nth percent of the student(s) received.

Overall Total Score Distribution Table

'24','2'=>'25','3'=>'25','4'=>'25','5'=>'24','6'=>'30','7'=>'31'); $new_arr = array_count_values($arr_obtained_marks); krsort ($new_arr); ?> '98','1'=>'98', '2'=>'99','3'=>'94', '4'=>'96', '5'=>'88', '6'=>'88', '7'=>'90', '8'=>'84', '9'=>'84', '10'=>'85', '11'=>'86','12'=>'50', '13'=>'65', '14'=>'70', '15'=>'72', '16'=>'72', '17'=>'78','18'=>'80', '19'=>'82'); //$rank_array = array('0'=>'24.75','1'=>'4'); sort($arr_obtained_marks); //$matches = array_keys($rank_array, 4); //$pr = (($matches[0] + .5 * sizeof($matches))*100)/sizeof($rank_array); //end $sum = array_sum($new_arr); $i = 0; $prev_val = $cumulativeF =''; foreach ($new_arr as $number => $frequency){ if($i==0){ $cumulativeF = $sum; }else{ $cumulativeF = ($cumulativeF - $prev_val); } $i++; $prev_val = $frequency; // percent $p = (($frequency/$group_size)*100); // cumulative percent $cp = (($cumulativeF/$group_size)*100); //percentile rank $matches = array_keys($arr_obtained_marks, $number); $pr = (($matches[0] + .5 * sizeof($matches))*100)/sizeof($arr_obtained_marks); ?>

Raw Score	Frequency	Cumulative Frequency	Percent	Cumulative Percent	Percentile Rank
			%	%

Above is a table that represents the distribution of scrores in several different ways:

Raw Score: It is the number of items answered correctly.

Mode: It is the most frequentyl appearing score (this is identified in the Raw Score column).

Frequency: It is the number of students with a given score.

Cumulative Frequency: It is the percent of students at or below each score.

Percent: It is the percent of the number of students wisth a given score.

Cumulative Percent: It is the percent of students at or below each score.

Percentile Rank: It is the percent of students who cored below the mid-point of a given score.

Standard Score: It is computes by subtracting the population mean of the individual raw score and dividing the remainder by the standard deviation. The resulting scores have a mean of 50 and standart deviation of 10. This is also referred to as a z-score.

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$val){ $arr_number_of_student[round($key)][$c] = $val; $c++; } $initial = round($l_ob_score); $limit = round($h_ob_score); for ($i=$initial;$i<=$limit;$i++){ $str_score .= "'$i'".','; if(!empty($arr_number_of_student[$i])){ //$str_count .= sizeof($arr_number_of_student[$i]).','; $str_count .= array_sum($arr_number_of_student[$i]).','; }else{ $str_count .= '0,'; } } $obtain_scores =substr($str_score,0,-1); $count = substr($str_count,0,-1); //pr($str_count); foreach ($arr_number_of_student as $k => $v){ $str_score2 .= $k.',' ; foreach ($v as $key => $val){ $str_count2 .= $val . ','; } } $obtain_scores2 =substr($str_score2,0,-1); $count2 = substr($str_count2,0,-1); ?>

Above is a bar that represents the frequency of student at each scores

Frequency: It is the total number of student(s) at given level.

Score: It is the total score obtained by student(s) at given level.

Item Analysis

10 && $dp <= 20: $dl = 'Extremely Difficult'; break; case $dp > 10 && $dp <= 20: $dl = 'Very Difficult'; break; case $dp > 20 && $dp <= 40: $dl = 'Difficult'; break; case $dp > 40 && $dp <= 60: $dl = 'Okay'; break; case $dp > 60 && $dp <= 80: $dl = 'Easy'; break; case $dp > 80 && $dp <= 90: $dl = 'Very Easy'; break; case $dp > 90 && $dp <= 100: $dl = 'Extremely Easy'; break; } $di = (($upper - $lower)/$item); ?>

Item	Question Type	#Correct (Upper group)	#Correct (Lower group)	Difficulty Percent	Difficulty level	Discrimination Index

Above is a table that represents the distribution of item analysis in several different ways:

Difficulty Percentage: It is the percentage of student's who selected the specific answer choice. The higher the value, the easier the item.

Difficulty Level: It is dirived from the difficulty percentage.

90% or more: It indicate very easy items that you should not use in subsequent tests. If almost all students responded correctly, an item addresses a concept probably not worth testing.

20% or less: indicate very difficult items. If almost all students responded incorrectly, either an item is flawed or students did not understand the concept.

Discrimination Index:

0.40 or higher:	Very good items
0.30 to 0.39:	Good items
0.20 to 0.2:9	Fairly good items
0.19 or less:	Poor items

Item Analysis2

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Item	Question Type	Answer Choice	Frequency
		Correct Wrong				True False