data:image/png;base64,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data:image/png;base64,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 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)Instagram,311.82Chritiano Ronaldo,181.82Ariana Grande,163.46Selena Gomez,156.14Dwayne Johnson,155.79Kim Kardashian West,147.27Kylie Jenner,145.4Beyonce,132.76Leo Messi,129.63Neymar Jr.,125.13164.92200000000003147.2712.84219607388082310001649.2200000000003111000