True or False: Write true if the statement is true, otherwise write false. 1.) Central Limit Theorem cannot be applied if the graph is asymmetrical. 2.) The graph of the population approaches normal distribution as the number of sample gets higher 3.) Central Limit Theorem is not applicable if the initial probability distribution function is not increasing or decreasing 4.) If the number of sample is less than or equal to 5, Central Limit Theorem is not applicable. 5.) The ideal number of sample is at least 30.

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True or False: Write true if the statement is true, otherwise write false.
1.) Central Limit Theorem cannot be applied if the graph is asymmetrical.
2.) The graph of the population approaches normal distribution as the
number of
sample gets higher
3.) Central Limit Theorem is not applicable if the initial probability distribution
function is not increasing or decreasing
4.) If the number of sample is less than or equal to 5, Central Limit Theorem
is not
applicable.
5.) The ideal number of sample is at least 30.
Transcribed Image Text:True or False: Write true if the statement is true, otherwise write false. 1.) Central Limit Theorem cannot be applied if the graph is asymmetrical. 2.) The graph of the population approaches normal distribution as the number of sample gets higher 3.) Central Limit Theorem is not applicable if the initial probability distribution function is not increasing or decreasing 4.) If the number of sample is less than or equal to 5, Central Limit Theorem is not applicable. 5.) The ideal number of sample is at least 30.
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