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# STA301 Statistics and Probability Quizz No.2

STA301

Statistics and Probability

Quizz No.2

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### Replies to This Discussion

Please all students related this subject Share your online Quizzes here to help each other.thanks

Please share the question and their answers of this quiz if anyone has done.
Thanks.

Today Solved Quiz

Question # 1 of 10 (Start time: 06:44:02 PM) Total Marks: 1
In the method of moments, how many equations are required for finding two unknown population parameters?
Select correct option:
1
3
4
Question # 2 of 10 (Start time: 06:45:31 PM) Total Marks: 1
For statistical inference about the mean of a single population when the population standard deviation is unknown, the degrees for freedom for the t distribution equal n-1 because we lose one degree of freedom by using the:
Select correct option:
Sample mean as an estimate of the population mean = answer
Sample size as an estimate of the population size
Sample proportion as an estimate of the population proportion
Sample standard deviation as an estimate of the population standard deviation
Question # 3 of 10 ( Start time: 06:47:31 PM ) Total Marks: 1
An urn contains 4 red balls and 6 green balls. A sample of 4 balls is selected from the urn without replacement. It is the example of:
Select correct option:
Binomial distribution
Poisson distribution
Exponential distribution
Question # 4 of 10 ( Start time: 06:48:17 PM ) Total Marks: 1
An estimator is always a:
Select correct option:
Random variable
Statistic and Random variable
Parameter
Question # 5 of 10 ( Start time: 06:49:50 PM ) Total Marks: 1
The Chi- Square distribution is continuous distribution ranging from:
Select correct option:
Minus infinity to plus infinity
Minus infinity to one
One to plus infinity
Question # 6 of 10 ( Start time: 06:51:10 PM ) Total Marks: 1
In a Geometric distribution, Maximum Likelihood Estimator (MLE) for proportion (P) is equal to:
Select correct option:
Sample mean
Reciprocal of the mean = answer
Sample variance
Reciprocal of the sample variance
Question # 7 of 10 ( Start time: 06:52:45 PM ) Total Marks: 1
Let X be a random variable with binomial distribution, that is (x=0,1,…, n). The Var[X] is:
Select correct option:

NP
Xnp
Question # 8 of 10 ( Start time: 06:54:23 PM ) Total Marks: 1
ANOVA stands for
Select correct option:
Analysis of covariance
Analysis of variables
All above
Question # 9 of 10 ( Start time: 06:55:37 PM ) Total Marks: 1
If an estimator is more efficient then the other estimator, its shape of the sampling distribution will be
Select correct option:
Flattered
Normal
Skewed to right
Question # 10 of 10 ( Start time: 06:56:34 PM ) Total Marks: 1
How can we interpret the 90% confidence interval for the mean of the normal population?
Select correct option:
There are 10% chances of falling true value of the parameter
There are 90% chances of falling true value of the parameter = answer
There are 100% chances of falling true value of the parameter
All are correct

My quiz today

Attachments:

HacKerINSIDE  thanks for sharing .keep it up

First moment about origin is always equal to:

Select correct option:

 Mean Variance Standard Deviation Zero

If two events A and B are not mutually exclusive then

Select correct option:

 P (A or B) = P (A) + P (B) – P (A and B) P (A or B) = P (A) + P (B) P (A or B) = P (A) x P (B) P (A or B) = P (A) + P (B)

Range i.e. (maximum value - minimum value) for a symmetrical distribution is approximately equal to

Select correct option:

 3*S.D 4*S.D 6*S.D S.D

For two mutually exclusive events A and B, P (A) = 0.1 and P (B) = 0.4, then P(AUB) is:

Select correct option:

 0.1 0.3 0.4 0.5

Dividing mean deviation by mean we get a pure number known as

Select correct option:

 Co-efficient of mean deviation Co-efficient Co-efficient of quartile deviation None of the above

When two dice are rolled the number of possible sample points are:

Select correct option:

 6 12 24 36

Symbolically, a conditional probability is:

Select correct option:

 P(AB) P(A/B) P(A) P(AUB)

An event that contains only one sample points is called:

Select correct option:

 Mutually exclusive event Normal event Simple event Compound event

For a symmetrical distribution, b1 is always:

Select correct option:

 Less than 1 Greater than 1 Equal to 0 Less or equal to 1

If a die is rolled, what is the probability of getting an even number greater than 2?

Select correct option:

 1/2 1/3 2/3 5/6

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