Which of the following statements about the sampling distribution of x-bar are u

Question

Which of the following statements about the sampling distribution of x-bar are untrue when taking samples of size n-100 The Central Limit Theorem guarantees that the sampling distribution of x-bar will be approximately normal regardless of the shape of the population of x's The population that we are sampling from needs to be normally distributed in order for the sampling distribution of x-bar to be approximately normally distributed The sampling distribution of x-bar will be centered at the population mean The sample size is considered large since n 30 D Question 2 2 pts Match the term on the left with its appropriate definition on the right. When working with mean, Statistic Any number that describes Any number that describes A sampling technique that : ?0 re

Explanation / Answer

1 - the central limit theorem gaurantee that sampling distribution of xbar will be approximately normal , regardless of shape of population of x

2)_- parameter - population constants i.e population mean population varuavar etc

Statistic - a function made up of sample values and used to estimate population parameter is called statistic

Random - a selection or a method in which probability of occurrence of units depends upon probability either equal or not equal

Large sample - a technique in which for large n samplosa distribution of Statistic behave like normal it is useful in testing procedure

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