I. TRUE OR FALSE Write T if the statement is True and F if the statement is false. 1. Cluster sampling is a sampling technique by which the sample is taken from different levels generally from higher levels to lower levels. 2. In a STEM class the researcher let each of the students picked a rolled number to which 20 students who picked a rolled paper with a star will be interviewed. This type of sampling technique is systematic sampling. 3. An infinite population is a population that has a fixed number of elements or observations. 4. The mean of the sampling distribution is the same as the mean of the population. 5. The central limit theorem states that as n, sample size, gets larger the sample size approache normal distribution regardless of the shape of the original population distribution. 6. A normal distribution of sample means is a probability distribution where all possible randon samples of a specific she where taken from a population. 7. Mean is the sum of all observations divided by the total number of observations. 8. Parameter describes the entire population. 9. Statistic describes a sample as an estimate for the whole population. 10. The standard deviation is also called standard error of the mean.
I. TRUE OR FALSE Write T if the statement is True and F if the statement is false.
1. Cluster sampling is a sampling technique by which the sample is taken from different levels generally from higher levels to lower levels.
2. In a STEM class the researcher let each of the students picked a rolled number to which 20 students who picked a rolled paper with a star will be interviewed. This type of sampling technique is systematic sampling.
3. An infinite population is a population that has a fixed number of elements or observations.
4. The mean of the sampling distribution is the same as the mean of the population.
5. The central limit theorem states that as n,
6. A normal distribution of sample means is a probability distribution where all possible randon samples of a specific she where taken from a population.
7. Mean is the sum of all observations divided by the total number of observations.
8. Parameter describes the entire population.
9. Statistic describes a sample as an estimate for the whole population.
10. The standard deviation is also called standard error of the mean.
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