
Statistics & Probability Quiz
Authored by Mixy Apidos
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10th Grade
Used 1+ times

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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of following is true about the mean of the sample means?
The mean of the sample mean is equal to the population mean.
The mean of the sample mean is equal to the population mean divided by the population variance.
The mean of the sample mean is equal to the square of population mean.
The mean of the sample mean is equal to the square root of population mean.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is true about the standard error of the mean?
Decreases as the sample size increases.
It is less than the standard deviation of the population.
It measures the variability of the mean from sample to sample.
All of the above
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What distribution is used to estimate population parameters when the population variance is unknown, and the sample size is less than 30?
Chi-square Distribution
t-Distribution
Pearson Correlation Coefficient
z-Distribution
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Given µ =10, σ = 3 and n = 40. Which of the following distribution of the sample mean for a normal population when the population variance is known?
Chi-square Distribution
t-Distribution
Pearson Correlation Coefficient
z-Distribution
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A History teacher claims that the average height of Filipino males is 163 centimeters. A student taking up Statistics randomly select 10 Filipino males and measure their heights. Their heights in centimeter are 163,167,159,165,162,164,163,160,169 and 174. To test the claim, which test is appropriate?
chi-square test
f-test
t-test
z-test
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following states that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger?
Central Limit Theorem
Limit Theorem
Law of Large Numbers
Bayes Theorem
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happen to the histogram of the sample means of the random samples in Central Limit Theorem, as n→∞?
It changes nothing from the original population.
It shows the variance of the distribution.
It shows the standard deviation of the distribution.
It approaches the normalcy of the distribution.
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