Podcast
Questions and Answers
What does the Central Limit Theorem state?
What does the Central Limit Theorem state?
- The distribution of sample means becomes unpredictable as the sample size increases
- The distribution of sample means approaches a normal distribution as the sample size increases (correct)
- The distribution of sample means becomes uniform as the sample size increases
- The distribution of sample means becomes skewed as the sample size increases
What happens to the distribution of sample means as the sample size increases according to the Central Limit Theorem?
What happens to the distribution of sample means as the sample size increases according to the Central Limit Theorem?
- It becomes skewed
- It approaches a normal distribution (correct)
- It becomes less predictable
- It becomes more random
In statistics, what is the effect of increasing sample size on the distribution of sample means?
In statistics, what is the effect of increasing sample size on the distribution of sample means?
- It becomes less representative
- It approaches a normal distribution (correct)
- It becomes more variable
- It becomes more diverse
Study Notes
The Central Limit Theorem (CLT) is a fundamental concept in statistics that states that the distribution of sample means approaches a normal distribution as the sample size increases, regardless of the shape of the original population distribution [100] [101] [102] [103] [104] [105] [106] [107] [108] [109] [110] [111] [112] [113] [114] [115] [116] [117] [118] [119] [120] [121] [122] [123] [124] [125] [126] [127] [128] [129] [130] [131] [132] [133] [134] [135] [136] [137] [138] [139] [140] [141] [142] [143] [144] [145] [146] [147] [148] [149] [150] [151] [152] [153] [154] [155] [156] [157] [158] [159] [160] [161] [162] [163] [164] [165] [166] [167] [168] [169] [170] [171] [172] [173] [174] [175] [176] [177] [178] [179] [180] [181] [182] [183] [184] [185] [186] [187] [188] [189] [190] [191] [192] [193] [194] [195] [196] [197] [198] [199] [200] [201] [202] [203] [204] [205] [206] [207] [208] [209] [210] [211] [212] [213] [214] [215] [216] [217] [218] [219] [220] [221] [222] [223] [224] [225] [226] [227] [228] [229] [230] [231] [232] [233] [234] [235] [236] [237] [238] [239] [240] [241] [242] [243] [244] [245] [246] [247] [248] [249] [250] [251] [252] [253] [254] [255] [256] [257] [258] [259] [260] [261] [262] [263] [264] [265] [266] [267] [268] [269] [270] [271] [272] [273] [274] [275] [276] [277] [278] [279] [280] [281] [282] [283] [284] [285] [286] [287] [288] [289] [290] [291] [292] [293] [294] [295] [296] [297] [298] [299] [300] [301] [302] [303] [304] [305] [306] [307] [308] [309] [310] [311] [312] [313] [314] [315] [316] [317] [318] [319] [320] [321] [322] [323] [324] [325] [326] [327] [328] [329] [330] [331] [332] [333] [334] [335] [336] [337] [338] [339] [340] [341] [342] [343] [344] [345] [346] [347] [348] [349] [350] [351] [352] [353] [354] [355] [356] [357] [358] [359] [360] [361] [362] [363] [364] [365] [366] [367] [368] [369] [370] [371] [372] [373] [374] [375] [376] [377] [378] [379] [380] [381] [382] [383] [384] [385] [386] [387] [388] [389] [390] [391] [392] [393] [394] [395] [396] [397] [398] [399] [400] [401] [402] [403] [404] [405] [406] [407] [408] [409] [410] [411] [412] [413] [414] [415]
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Description
This quiz covers the fundamental concept of the Central Limit Theorem (CLT) in statistics, which states that the distribution of sample means approaches a normal distribution as the sample size increases, regardless of the shape of the original population distribution.
