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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)How can we report the appropriate column from the data set? Which HOF can help do this?b010data:image/png;base64,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change me with your data once you get everything workingJanuary,12.21February,12.74March,13.20April,13.68May,14.24June,14.88July,15.44August,16.04September,17.04October,17.64November,18.20December,18.7015.33416666666666715.442.1107362788583720.5false