(Remembering) 1. The frequency distribution of sample means taken from a population. A. sampling distribution of sample means B. mean C. variance D. histogram
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
![DIRECTION: Read and answer the following questions. Write the letter of your choice on the spaces provided
before each number.
(Remembering)
1. The frequency distribution of sample means taken from a population.
A. sampling distribution of sample means
B. mean
C. variance
D. histogram
2. It is also called the expected value.
A. sampling distribution of sample means
B. mean
C. variance
D. histogram
3. It states that the sampling distribution of the mean approaches a normal distribution as the sample size
increases.
A. Central Limit Theorem
B. standard error of the mean
C. normal distribution D. sample size
4. The population is spread perfectly symmetrical with standard deviations around the mean value.
A. population
B. Central Limit Theorem
C. sample size
D. normal distribution
えー!
5. In the formula Z = represents :
Vn
A. sample mean
B. variable
C. population mean
D. standard deviation
6. It is the standard deviation of the sampling distribution of the sample mean.
"B. standard deviation
C. standard error
D. mean
A. population mean
(Understanding)
Ex2
Σχ
7. The formula g²
2can be used to compute:
N
B. variance
C. samples
D. CLT
A. population
8. Given the following: 8, 12, 16, 20, 24 and 28, solve for the population mean.
А. 15
B. 16
C. 17
D. 18
9. Which of the following sample size will give a smaller standard error of the mean, according to the
Central Limit Theorem?
А. 6
В. 15
С. 20
D. 40
10. Compute for the standard error of the mean if the sample size is 36 with standard deviation of 12.
D. 3.1
А. 2
В. 2.1
C. 3
(Analyzing)
11. The mean and standard deviation of a population are250 and 25, respectively with a sample size of 120.
What is the mean of the sampling distribution?
A. 25
В. 120
C. 125
D. 250](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbc1e6c63-3a06-463c-8e2e-0fe2b9072484%2Fc774dd0b-301a-4fa6-a2db-6e05334fdec1%2Fyyb00we_processed.jpeg&w=3840&q=75)
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