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STA301 Statistics and Probability Quiz No. 2 Solution Fall 2014 Solution Ideas 16th December 2014

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?
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2 = answer
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:
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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:
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Binomial distribution
Hypergeometric distribution = answer
Poisson distribution
Exponential distribution
Question # 4 of 10 ( Start time: 06:48:17 PM ) Total Marks: 1
An estimator is always a:
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Statistic = answer
Random variable
Statistic and Random variable
Question # 5 of 10 ( Start time: 06:49:50 PM ) Total Marks: 1
The Chi- Square distribution is continuous distribution ranging from:
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Zero to infinity = answer
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:
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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:
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NP (1-p) = answer
Question # 8 of 10 ( Start time: 06:54:23 PM ) Total Marks: 1
ANOVA stands for
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Analysis of variance = answer
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
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Highly peaked = answer
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?
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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