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

Should report the mean value for your data. With our sample data, this would return 94.47 Get the sum of all nums in data_list Divide Number of nums in data_list

LABEL 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!12

de:behalte Elemente, die _ aus _ ca:manté els elements on _ de _ es:mantener los elementos donde _ de _ fr:garder les items tels que _ de _ 1

de:kombiniere mit _ die Elemente von _ ca:combina amb _ els elements de _ es:combinar con _ los elementos de _ fr:combine avec _ les items de _ 1

de: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 _ _ 110i

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ 121

de: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 _ _ cont

de:wirf _ ca:llança _ es:lanzar _ fr:lance _ catchtag

de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ cont

de:wirf _ _ ca:llança _ _ es:lanzar _ _ fr:lance _ _ catchtag

de: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 _ 110

de:wende _ an auf _ ca:mapeja _ sobre _ es:mapear _ sobre _ fr:appliquer _ à _ 1

Reports the Median - ours is 94.5

Take 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]].

1111

Reports a new list containing the items of the input list, but in the opposite order.

1inputresult

Reports 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.

Reports 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#2

The 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.

#11datacountmapmany#

1data listscount

#1datacount1

Calculates the standard deviation. You do NOT need to alter this block.

This statistic is calculated by the (number of successes) / (total number of outcomes)

incomplete

c0b

previous numberSet the next previous number to the current number.1

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2012,782002013,801072014,816492015,772652016,782002017,831272018,869102019,892102020,858052021,9418283465.5831275232.3173690058210.778200