Cor10 Stats Flashcards
1
Q
- Suppose you toss a fair coin two times; how many possible outcomes
are there?
- 4 - A die is rolled. What is the probability of rolling a number that is greater
than 6?
- 0/ 6 - In a family of three children, what is the probability that the middle
child is a girl?
-1/ 2 - A coin is tossed thrice. What is the probability of having two heads and
a tail?
- 3/ 8 - It is a table showing all the possible value of a discrete random variable
together with their corresponding probabilities.
- Discrete Probability Distribution - It is a variable that cannot be represented by a whole number.
-Continuous random variable - Y = dropout rate (%) in a certain high school. What are the possible
values of each random variable?
Y = {x│0 ≤ x ≤ 100} - X = number of heads in tossing a coin thrice. What are the possible
values of each random variable?
X = {0, 1, 2, 3} - A glass of jar contains 40 red, green, blue, and yellow marbles. The
probability of drawing a single green marble at random is 1/5. What
does this mean?
- There are 8 green marbles in the glass jar. - Apple got coins from his pocket which accidentally rolled on the floor.
If there were 16 probable outcomes, how many coins fell on the floor?
-4
A
Mod 1.
2
Q
- The numerical quantity that is assigned to the outcome of an
experiment is called ______.
- random Variable - The one that can assume only a countable number of values is known
as ______.
-discrete random variable - The random variable that can assume an infinite number of values in
one or more intervals is called ______.
-continuous random variable - The discrete random variable is generated from an experiment in which
things are counted but not measured.
-False
- The following statements are examples of discrete random variable,
except,
-the length of wire ropes
6. The following statements are examples of continuous random variable,
except,
- the number of learners who joined the online class
7. The correspondence that assigns probabilities to the values of a random
variable. - Probability Distribution
8. It is a graph that displays the possible values of discrete random
variable on the horizontal axis and the probabilities of those values on
the vertical axis. - Probability histogram
9. It associates to any given number the probability that the random
variable will be equal to that number. - Probability Mass Function
- The set of all possible outcomes of an experiment.
-Sample space
A
Mod 2
3
Q
- What is the shape of a normal curve distribution?
Bell-shaped - What is the total area under the normal curve?
1 - What is the area that falls within 2 standard deviations from the mean?
0.95 - Which of the following is TRUE about the characteristics of a normal
curve distribution?
The total area under the normal curve is 100%. - Suppose that the mean is 40 and the standard deviation is 3. Which of
the following statement is correct?
About 95% of the area under the normal curve is within 34 and
46.
A
M.3
4
Q
- Which of the following is TRUE about standard normal distribution?
𝜇 = 0 𝑎𝑛𝑑 𝜎 = 1 - It is a procedure when a raw score is converted to a z-score.
Standardizing a raw score - How will you find the area if both z-scores are in the right side of the
mean?
Subtract the two areas - What is the equivalent z-score of x = 13 if 𝜇 = 10 𝑎𝑛𝑑 𝜎 = 2?
1.5 - Suppose that the score in Mathematics exam is normally distributed
with a mean of 20 and a standard deviation of 4. What percentage
of the scores fall between 18 and 26?
62.47%
A
M.4
5
Q
- Which of the following refers to a chance sampling method?
Random sampling - What do you call a numerical value calculated by using all the data in a
population?
Parameter - What refers to a numerical value calculated by using only the data from a sample?
Statistic - What is commonly known as average and could be calculated by adding all values
in a data and dividing the sum with the number of values?
Mean - What refers to the degree of spread or variability of a data?
Variance
A
M.5
6
Q
- Central Limit Theorem states that as the sample size gets larger, the mean
of the sampling distribution approaches the __________________. - If the problem deals with an individual data from the population, then the
appropriate formula to find the z-score is _____________________. - If the problem deals with the data of the sample means, then the
appropriate formula to find the z-score is _____________________. - If we want to find the probability of 𝑋̅ in a sampling distribution, then we
will apply the concept of _________________________. - In an infinite population, in order to apply the Central Limit Theorem, we
have to assure that the variable is _____________________.
A
- normal
distribution - Z= 𝑋 - M / 𝜎
- Z= 𝑋 - M /𝜎/ 𝑛√
4.area under the
normal curve
5.normally
distributed