data:image/png;base64,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

data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAQAElEQVR4AezVC27kNhAEUCP3P3SC/NZeez6SSDWb9YJg1zsjkV2vDdQfH/4jQIAAAQIEbhdQwLeTu5AAAQIECHx8ZBew3wACBAgQIFAkoICL4F1LgAABAtkCCjh3/5ITIECAQKGAAi7EdzUBAgQI5Aoo4NzdZyeXngABAsUCCrh4Aa4nQIAAgUwBBZy5d6mzBaQnQGABAQW8wBKMQIAAAQJ5Ago4b+cSE8gWkJ7AIgIKeJFFGIMAAQIEsgQUcNa+pSVAIFtA+oUEFPBCyzAKAQIECOQIKOCcXUtKgACBbIHF0ivgxRZiHAIECBDIEFDAGXuWkgABAgQWE7i5gBdLbxwCBAgQIFAkoICL4F1LgAABAtkCCvjG/buKAAECBAj8J6CA/5PwNwECBAgQuFFAAd+InX2V9AQIECDwWUABf9bwMwECBAgQuElAAd8E7ZpsAekJECDwu4AC/l3EvwkQIECAwA0CCvgGZFcQyBaQngCBnwQU8E8qPiNAgAABApMFFPBkYMcTIJAtID2BRwIK+JGMzwkQIECAwEQBBTwR19EECBDIFpD+mYACfqbjOwIECBAgMElAAU+CdSwBAgQIZAu8Sq+AXwn5ngABAgQITBBQwBNQHUmAAAECBF4J7F3Ar9L7ngABAgQIFAko4CJ41xIgQIBAtoAC3nf/khEgQIDAwgIKeOHlGI0AAQIE9hVQwPvuNjuZ9AQIEFhcQAEvviDjESBAgMCeAgp4z71KlS0gPQECDQQUcIMlGZEAAQIE9hNQwPvtVCIC2QLSE2gioICbLMqYBAgQILCXgALea5/SECCQLSB9IwEF3GhZRiVAgACBfQQU8D67lIQAAQLZAs3SK+BmCzMuAQIECOwhoID32KMUBAgQINBMYHABN0tvXAIECBAgUCSggIvgXUuAAAEC2QIKeOD+HUWAAAECBN4VUMDvSnmOAAECBAgMFFDAAzGzj5KeAAECBI4IKOAjWp4lQIAAAQKDBBTwIEjHZAtIT4AAgaMCCviomOcJECBAgMAAAQU8ANERBLIFpCdA4IyAAj6j5h0CBAgQIHBRQAFfBPQ6AQLZAtITOCuggM/KeY8AAQIECFwQUMAX8LxKgACBbAHprwgo4Ct63iVAgAABAicFFPBJOK8RIECAQLbA1fQK+Kqg9wkQIECAwAkBBXwCzSsECBAgQOCqQO8Cvpre+wQIECBAoEhAARfBu5YAAQIEsgUUcN/9m5wAAQIEGgso4MbLMzoBAgQI9BVQwH13lz259AQIEGguoICbL9D4BAgQINBTQAH33JupswWkJ0BgAwEFvMESRSBAgACBfgIKuN/OTEwgW0B6ApsIKOBNFikGAQIECPQSUMC99mVaAgSyBaTfSEABb7RMUQgQIECgj4AC7rMrkxIgQCBbYLP0CnizhYpDgAABAj0EFHCPPZmSAAECBDYTOFjAm6UXhwABAgQIFAko4CJ41xIgQIBAtoACPrB/jxIgQIAAgVECCniUpHMIECBAgMABAQV8ACv7UekJECBAYKSAAh6p6SwCBAgQIPCmgAJ+E8pj2QLSEyBAYLSAAh4t6jwCBAgQIPCGgAJ+A8kjBLIFpCdAYIaAAp6h6kwCBAgQIPBCQAG/API1AQLZAtITmCWggGfJOpcAAQIECDwRUMBPcHxFgACBbAHpZwoo4Jm6ziZAgAABAg8EFPADGB8TIECAQLbA7PQKeLaw8wkQIECAwA8CCvgHFB8RIECAAIHZAmsX8Oz0zidAgAABAkUCCrgI3rUECBAgkC2ggNfdv8kIECBAYGMBBbzxckUjQIAAgXUFFPC6u8meTHoCBAhsLqCAN1+weAQIECCwpoACXnMvpsoWkJ4AgQABBRywZBEJECBAYD0BBbzeTkxEIFtAegIhAgo4ZNFiEiBAgMBaAgp4rX2YhgCBbAHpgwQUcNCyRSVAgACBdQQU8Dq7MAkBAgSyBcLSK+CwhYtLgAABAmsIKOA19mAKAgQIEAgT+K2Aw9KLS4AAAQIEigQUcBG8awkQIEAgW0ABf9q/HwkQIECAwF0CCvguafcQIECAAIFPAgr4E0b2j9ITIECAwJ0CCvhObXcRIECAAIF/BRTwvxD+yhaQngABAncLKOC7xd1HgAABAgT+ElDAfyH4n0C2gPQECFQIKOAKdXcSIECAQLyAAo7/FQBAIFtAegJVAgq4St69BAgQIBAtoICj1y88AQLZAtJXCijgSn13EyBAgECsgAKOXb3gBAgQyBaoTq+AqzfgfgIECBCIFFDAkWsXmgABAgSqBWoLuDq9+wkQIECAQJGAAi6Cdy0BAgQIZAso4Lr9u5kAAQIEggUUcPDyRSdAgACBOgEFXGeffbP0BAgQCBdQwOG/AOITIECAQI2AAq5xd2u2gPQECBD4UMB+CQgQIECAQIGAAi5AdyWBaAHhCRD4W0AB/83gDwIECBAgcK+AAr7X220ECGQLSE/gfwEF/D+FHwgQIECAwH0CCvg+azcRIEAgW0D6LwIK+AuHfxAgQIAAgXsEFPA9zm4hQIAAgWyBb+kV8DcSHxAgQIAAgfkCCni+sRsIECBAgMA3gagC/pbeBwQIECBAoEhAARfBu5YAAQIEsgUUcMz+BSVAgACBlQQU8ErbMAsBAgQIxAgo4JhVZweVngABAqsJKODVNmIeAgQIEIgQUMARaxYyW0B6AgRWFFDAK27FTAQIECCwvYAC3n7FAhLIFpCewKoCCnjVzZiLAAECBLYWUMBbr1c4AgSyBaRfWUABr7wdsxEgQIDAtgIKeNvVCkaAAIFsgdXTK+DVN2Q+AgQIENhSQAFvuVahCBAgQGB1gbkFvHp68xEgQIAAgSIBBVwE71oCBAgQyBZQwPP272QCBAgQIPBQQAE/pPEFAQIECBCYJ6CA59lmnyw9AQIECDwVUMBPeXxJgAABAgTmCCjgOa5OzRaQngABAi8FFPBLIg8QIECAAIHxAgp4vKkTCWQLSE+AwFsCCvgtJg8RIECAAIGxAgp4rKfTCBDIFpCewNsCCvhtKg8SIECAAIFxAgp4nKWTCBAgkC0g/SEBBXyIy8MECBAgQGCMgAIe4+gUAgQIEMgWOJxeAR8m8wIBAgQIELguoICvGzqBAAECBAgcFtiqgA+n9wIBAgQIECgSUMBF8K4lQIAAgWwBBbzN/gUhQIAAgU4CCrjTtsxKgAABAtsIKOBtVpkdRHoCBAh0E1DA3TZmXgIECBDYQkABb7FGIbIFpCdAoKOAAu64NTMTIECAQHsBBdx+hQIQyBaQnkBXAQXcdXPmJkCAAIHWAgq49foMT4BAtoD0nQUUcOftmZ0AAQIE2goo4LarMzgBAgSyBbqnV8DdN2h+AgQIEGgpoIBbrs3QBAgQINBd4FoBd09vfgIECBAgUCSggIvgXUuAAAEC2QIK+Pz+vUmAAAECBE4LKODTdF4kQIAAAQLnBRTwebvsN6UnQIAAgUsCCvgSn5cJECBAgMA5AQV8zs1b2QLSEyBA4LKAAr5M6AACBAgQIHBcQAEfN/MGgWwB6QkQGCKggIcwOoQAAQIECBwTUMDHvDxNgEC2gPQEhgko4GGUDiJAgAABAu8LKOD3rTxJgACBbAHphwoo4KGcDiNAgAABAu8JKOD3nDxFgAABAtkCw9Mr4OGkDiRAgAABAq8FFPBrI08QIECAAIHhAq0KeHh6BxIgQIAAgSIBBVwE71oCBAgQyBZQwG32b1ACBAgQ2ElAAe+0TVkIECBAoI2AAm6zquxBpSdAgMBuAgp4t43KQ4AAAQItBBRwizUZMltAegIEdhRQwDtuVSYCBAgQWF5AAS+/IgMSyBaQnsCuAgp4183KRYAAAQJLCyjgpddjOAIEsgWk31lAAe+8XdkIECBAYFkBBbzsagxGgACBbIHd0yvg3TcsHwECBAgsKaCAl1yLoQgQIEBgd4HnBbx7evkIECBAgECRgAIugnctAQIECGQLKODH+/cNAQIECBCYJqCAp9E6mAABAgQIPBZQwI9tsr+RngABAgSmCijgqbwOJ0CAAAECPwso4J9dfJotID0BAgSmCyjg6cQuIECAAAEC3wUU8HcTnxDIFpCeAIFbBBTwLcwuIUCAAAECXwUU8FcP/yJAIFtAegK3CSjg26hdRIAAAQIEfgko4F8WfiJAgEC2gPS3CijgW7ldRoAAAQIE/hFQwP84+JMAAQIEsgVuT6+Abyd3IQECBAgQ+PhQwH4LCBAgQIBAgcBSBVyQ35UECBAgQKBEQAGXsLuUAAECBNIFFPAyvwEGIUCAAIEkAQWctG1ZCRAgQGAZAQW8zCqyB5GeAAECaQIKOG3j8hIgQIDAEgIKeIk1GCJbQHoCBBIFFHDi1mUmQIAAgXIBBVy+AgMQyBaQnkCqgAJO3bzcBAgQIFAqoIBL+V1OgEC2gPTJAgo4efuyEyBAgECZgAIuo3cxAQIEsgXS0yvg9N8A+QkQIECgREABl7C7lAABAgSyBT4+FHD6b4D8BAgQIFAioIBL2F1KgAABAukCyQWcvnv5CRAgQKBQQAEX4ruaAAECBHIFFHDq7uUmQIAAgVIBBVzK73ICBAgQSBVQwKmbz84tPQECBMoFFHD5CgxAgAABAokCCjhx6zJnC0hPgMASAgp4iTUYggABAgTSBBRw2sblJZAtID2BZQQU8DKrMAgBAgQIJAko4KRty0qAQLaA9EsJKOCl1mEYAgQIEEgRUMApm5aTAAEC2QLLpVfAy63EQAQIECCQIKCAE7YsIwECBAgsJ3BrAS+X3kAECBAgQKBIQAEXwbuWAAECBLIFFPBt+3cRAQIECBD4JaCAf1n4iQABAgQI3CaggG+jzr5IegIECBD4KqCAv3r4FwECBAgQuEVAAd/C7JJsAekJECDwXUABfzfxCQECBAgQmC6ggKcTu4BAtoD0BAj8LKCAf3bxKQECBAgQmCqggKfyOpwAgWwB6Qk8FlDAj218Q4AAAQIEpgko4Gm0DiZAgEC2gPTPBRTwcx/fEiBAgACBKQIKeAqrQwkQIEAgW+B1egX82sgTBAgQIEBguIACHk7qQAIECBAg8Fpg5wJ+nd4TBAgQIECgSEABF8G7lgABAgSyBRTwrvuXiwABAgSWFlDAS6/HcAQIECCwq4AC3nWz2bmkJ0CAwPICCnj5FRmQAAECBHYUUMA7blWmbAHpCRBoIaCAW6zJkAQIECCwm4AC3m2j8hDIFpCeQBsBBdxmVQYlQIAAgZ0EFPBO25SFAIFsAelbCSjgVusyLAECBAjsIqCAd9mkHAQIEMgWaJdeAbdbmYEJECBAYAcBBbzDFmUgQIAAgXYCQwu4XXoDEyBAgACBIgEFXATvWgIECBDIFlDAw/bvIAIECBAg8L6AAn7fypMECBAgQGCYgAIeRpl9kPQECBAgcExAAR/z8jQBAgQIEBgioICHMDokW0B6AgQIHBdQwMfNvEGAAAECBC4LKODLhA4gkC0gPQECv+uE6gAAAkNJREFU5wQU8Dk3bxEgQIAAgUsCCvgSn5cJEMgWkJ7AeQEFfN7OmwQIECBA4LSAAj5N50UCBAhkC0h/TUABX/PzNgECBAgQOCWggE+xeYkAAQIEsgWup1fA1w2dQIAAAQIEDgso4MNkXiBAgAABAtcFOhfw9fROIECAAAECRQIKuAjetQQIECCQLaCAu+7f3AQIECDQWkABt16f4QkQIECgq4AC7rq57LmlJ0CAQHsBBdx+hQIQIECAQEcBBdxxa2bOFpCeAIEtBBTwFmsUggABAgS6CSjgbhszL4FsAekJbCOggLdZpSAECBAg0ElAAXfallkJEMgWkH4rAQW81TqFIUCAAIEuAgq4y6bMSYAAgWyB7dIr4O1WKhABAgQIdBBQwB22ZEYCBAgQ2E7gUAFvl14gAgQIECBQJKCAi+BdS4AAAQLZAgr47f17kAABAgQIjBNQwOMsnUSAAAECBN4WUMBvU2U/KD0BAgQIjBVQwGM9nUaAAAECBN4SUMBvMXkoW0B6AgQIjBdQwONNnUiAAAECBF4KKOCXRB4gkC0gPQECcwQU8BxXpxIgQIAAgacCCvgpjy8JEMgWkJ7APAEFPM/WyQQIECBA4KGAAn5I4wsCBAhkC0g/V0ABz/V1OgECBAgQ+FFAAf/I4kMCBAgQyBaYn14Bzzd2AwECBAgQ+CaggL+R+IAAAQIECMwXWLmA56d3AwECBAgQKBJQwEXwriVAgACBbAEFvOr+zUWAAAECWwso4K3XKxwBAgQIrCrwJwAAAP//lVwoVAAAAAZJREFUAwDU5ALRcl29HAAAAABJRU5ErkJggg==asks question and collects the answers x10reports the average (research question 1)research question 2, list sumresearch question 3, is there ______ in the listthese are all predicates -->1,1,2,4,4,2,3,1,0,1