data:image/png;base64,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data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAOhUlEQVR4Xu3VwQkAAAjEMN1/abewn7jAQRC64wgQIECAAIF3gX1fNEiAAAECBAiMAHsCAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQIHLFxAWmhEwHPAAAAAElFTkSuQmCCShould 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)Oct '16,100Jan '17,150Apr '17,200Jun '17,250Oct '17,300Jun '18,400Jan '19,500211250130.540477732121930.222222222222222250005000350