ᴅᴏɴᴛ ɢᴏ ᴛᴏ ʙʀᴀɪɴʟʏ.ᴛᴏᴅᴀʏ! ᴛʜᴇʏ ᴡɪʟʟ ʜᴀᴄᴋ ʏᴏᴜ ᴀɴᴅ ꜱᴄᴀᴍ ʏᴏᴜ! ᴍʏ ɢʀᴀɴᴅᴘᴀ ɢᴏᴛ ʜᴀᴄᴋᴇᴅ ʜᴇʀᴇ! ɪᴛ ɪꜱ ᴀ ʙɪɢ ᴘʀᴏꜰᴀɴɪᴛʏ ꜱɪᴛᴇ! ᴛʜᴇʀᴇ ᴀʀᴇ ʙᴏᴛꜱ ᴏɴ ʙʀᴀɪɴʟʏ ᴛʀʏɪɴɢ ᴛᴏ ɢᴇᴛ ʏᴏᴜ ᴛᴏ ᴛʜɪꜱ ᴡᴇʙꜱɪᴛᴇ! ᴅᴏɴᴛ ʟᴇᴛ ᴛʜᴇᴍ ᴡɪɴ! ꜱᴘʀᴇᴀᴅ ᴛʜɪꜱ ᴛᴏ ᴏᴛʜᴇʀ ᴄᴏᴍᴍᴇɴᴛ ꜱᴇᴄᴛɪᴏɴꜱ! ꜱᴘʀᴇᴀᴅ ᴛʜᴇ ᴡᴏʀᴅ! DONT BELIEVE ME?
THEY STOLE $50 FROM MY GRANDPA'S PAYPAL !!!

On a certain portion of an experiment, a statistical test result yielded a p-value of 0.21. what can you conclude? 2(0.21) = 0.42 < 0.5; the test is not statistically significant. if the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 21% of the time, so the test is not statistically significant. 0.21 > 0.05; the test is statistically significant. if the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 79% of the time, so the test is not statistically significant. p = 1 - 0.21 = 0.79 > 0.05; the test is statistically significant.