data:image/png;base64,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data:image/png;base64,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Should report the mean value for your data. With our sample data, this would return 94.47LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.de:drucke _ in Größe _
ca:etiqueta _ de mida _
es:etiqueta _ de tamaño _
fr:étiquette _ d'une taille de _
Hello!12de:behalte Elemente, die _ aus _
ca:manté els elements on _ de _
es:mantener los elementos donde _ de _
fr:garder les items tels que _ de _
1de:kombiniere mit _ die Elemente von _
ca:combina amb _ els elements de _
es:combinar con _ los elementos de _
fr:combine avec _ les items de _
1de:wenn _ dann _ sonst _
ca:si _ llavors _ si no _
es:si _ entonces _ sino _
fr:si _ alors _ sinon _
de:für _ = _ bis _ _
ca:per _ = _ fins _ _
es:para _ = _ hasta _ _
fr:pour _ allant de _ à _ _
110ide:füge Wörter zusammen _
ca:uneix les paraules _
es:unir las palabras _
fr:fusionne les mots _
121de:Liste $arrowRight Satz _
ca:llista $arrowRight frase _
es:lista $arrowRight frase _
fr:liste $arrowRight phrase _
de:Satz $arrowRight Liste _
ca:frase $arrowRight llista _
es:frase $arrowRight lista _
fr:phrase $arrowRight liste _
de:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
cont3de:wirf _
ca:llança _
es:lanzar _
fr:lance _
catchtagde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
catchtagde:für jedes _ von _ _
ca:per cada _ de _ _
es:para cada _ de _ _
fr:pour chaque _ de _ _
de:falls _ dann _ und pause $pause-1-255-220-0
ca:si _ fes _ i atura-ho tot $pause-1-255-220-0
es:si _ haz _ y páralo todo $pause-1-255-220-0
fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0
de:Wort $arrowRight Liste _
ca:paraula $arrowRight llista _
es:palabra $arrowRight lista _
fr:mot $arrowRight liste _
de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
de:Liste $arrowRight Wort _
ca:llista $arrowRight paraula _
es:lista $arrowRight palabra _
fr:liste $arrowRight mot _
de:Zahlen von _ bis _
ca:nombres des de _ a _
es:números de _ a _
fr:nombres de _ à _
1101de:wende _ an auf _
ca:mapeja _ sobre _
es:mapear _ sobre _
fr:appliquer _ à _
1Reports the Median - ours is 94.5Take any number of input lists, and create a new list containing the items of the input lists. So
APPEND [A B] [C D]
where the [,,,] are lists reports the list
[A B C D]
not [[A B] [C D]].11111Reports a new list containing the items of the input list, but in the opposite order.1inputresultReports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.1Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.1even itemsmerge11#1#2The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.11#11datacountmapmany##1#1data listscount#1datacount1Calculates the standard deviation. You do NOT need to alter this block.This statistic is calculated by the (number of successes) / (total number of outcomes)2009,3602010,6082011,8452012,10562013,12282014,13932015,15912016,18602017,21292018,232013391228612.6638556337398010300