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                             Students,


     You are informed that Quiz no.1 will be started according to the following schedule;

 

Opening Date and Time of Quiz            November 21, 2013 at 12:01 AM

Closing Date and Time of Quiz             November 22, 2013 at 11:59 PM

 

Instructions:

 

Read the following instructions carefully before attempting the Quiz No.1.

 

•        Quiz will be based upon Multiple Choice Questions (MCQs) and it will cover Lesson no.1 to Lesson no. 9.

 

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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. 

STA 301 Quiz attempted today:
1. Geometric Mean gives the equal weightage to __________values
2. In a Pie diagram, the sector of a circle is obtained by:
3. In a shoes store, the average size is used as:
4. From the table given below, how many students obtained marks between 60 and 69? Marks f Mid-Points 50-59 5 54.5 60-69 7 64.5 70-79 8 74.5 80-89 5 84.5 90-100 3 94.5
5. Which of the following is NOT a common measure of central tendency?
6. As a general rule, the _______ is the best measure of central tendency because it is more precise:
7. As a general rule, the _______ is the best measure of central tendency because it is more precise:
8. The ______ is the value you calculate when you want the arithmetic average:
9. Which one is the formula of mid range:
10. Relationships among the averages
11. The middle value of an ordered array of numbers is the

  Thanks Muhammad Usman for sharing ur quizz 

if any one attempt this quizz than upload it 

its very helpful for others to solve the quiz 

Question # 1 of 10

The sum of the deviations of the observations from their mean is:

  • Maximum
  • Minimum
  • Zero
  • Un-predicted

Question # 2 of 10

What is the median for the following data 1,1,2,2,5,5,7,7,7

  • 1
  • 2
  • 5
  • 7

Question # 3 of 10

Value of harmonic mean is less than

  • Arithmetic mean
  • Geometric mean
  • Both Arithmetic mean & Geometric mean
  • None of the above

Question # 4 of 10

The following data needed to answer questions 8 to 13. Numbers of errors on a test of English comprehension for ten individuals are 5, 10, 2, 0, 8, 12, 7, 6, 0, 9. The most frequent score is:

  • 12
  • 0
  • 10
  • 2

Question # 5 of 10

Sum of the absolute deviations of the values is least when deviations are taken from:

  • Mean
  • Median
  • Mode
  • G.M

Question # 6 of 10

Which of the following is a true statement about median

  • It is always one of the data values
  • It is influenced by extreme values
  • Fifty percent of the observations are larger than median
  • It is the middle value of the data values

Question # 7 of 10

A bell shaped distribution is also known as:

  • Symmetrical
  • Bimodal
  • Skewed
  • U shaped

Question # 8 of 10

Mid point is equal to:

  • Half of the sum of upper class limit and lower class limit
  • The difference between consecutive lower limits
  • Total number of observations fall in a class
  • All of these

Question # 9 of 10

The _________ is one of the most important graphical representation of a frequency distribution

  • Histogram
  • Polygon
  • OGIVE
  • Frequency Curve

 malaika  thanks for sharing..keep it up 

Sara  thanks for sharing..keep it up 

Muhammad Usman thanks for shairng ..keep it up 

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. 

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
  • 2
  • 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

            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

            Hypergeometric 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:

            Statistic

            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:

            Zero to infinity

            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

            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:

            P                

            NP

            NP (1-p)

            Xnp

Question # 8 of 10 ( Start time: 06:54:23 PM )          Total Marks: 1

ANOVA stands for

Select correct option:

            Analysis of variance

            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

            Highly peaked

            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

            There are 100% chances of falling true value of the parameter

            All are correct

1.     Question # 1 of 10        

If Y=bX, then variance of Y is
Select correct option:
             b*2 var(x)
            var(x)
            b var(x)
            b square root var(x)

 
 
2.     Question # 2 of 10         
If f(x) is a continuous probability function, then P(X = 2) is:
Select correct option:
       1
       0
       1/2
       2
 
3.     Question # 3 of 10       
In regression line Y=a+bX, Y is called:
Select correct option:
       Dependent variable
       Independent variable
       Explanatory variable
       Regressor
 4.     Question # 4 of 10        
If A and B are mutually exclusive events with P (A) =0.25 and P (B) = 0.50, Then P (A or B) =………
Select correct option:
       0.25
       0.75
       0.50
       1
 

 

5.     Question # 5 of 10         
Symbolically, a conditional probability is:
Select correct option:
       P(AB)
       P(A/B)
       P(A)
       P(AUB)
 

 

6.     Question # 6 of 10     
In a 52 well shuffled pack of 52 playing cards, the probability of drawing any one diamond card is
Select correct option:
       1/52
       4/52
       13/52
       52/52
 

 

7.     Question # 7 of 10      
Probability of a sure event is
Select correct option:
       8
       1
       0
       0.5
 

 

8.     Question # 8 of 10       
If Y=3X+5,then S.D of Y is equal to
Select correct option:
       9 s.d(x)
       3 s.d(x)
       s.d(x)+5
       3s.d(x)+5
 
    Question # 9 of 10       
The probability of drawing a red queen card from well-shuffled pack of 52 playing cards is
Select correct option:
       4/52
       2/52
       
13/52
       26/52
 

 

10.                        Question # 10 of 10       
If P (B|A) = 0.25 and P (A and B) =0.20, then P (A) is
Select correct option:
       0.05
       0.80
       0.95
       0.75

Question # 1 of 10 ( Start time: 07:27:06 PM ) Total Marks: 1
Dividing mean deviation by mean we get a pure number known as
Select correct option:
Co-efficient of mean deviation*(ans)
Co-efficient
Co-efficient of quartile deviation
None of the above

Question # 2 of 10 ( Start time: 07:28:06 PM ) Total Marks: 1
Formula for Semi Interquartile Range is:
Select correct option:
(Q3-Q1)/2*(ans)
(Q1+Q3)/2
(Q1-Q3)
(Q1+Q3)

Question # 3 of 10 ( Start time: 07:29:25 PM ) Total Marks: 1
Which scale will you use to measure the temperature?
Select correct option:
Nominal scale
Interval scale*(ans)
Ratio scale
Ordinal scale

Question # 4 of 10 ( Start time: 07:30:57 PM ) Total Marks: 1
If Xo is the smallest value and Xm is the largest value in a data set then, range is defined by the relation:
Select correct option:
Xo
Xm
Xm-Xo*(ans)
Xo-Xm

Question # 5 of 10 ( Start time: 07:32:14 PM ) Total Marks: 1
Half of the observations are always larger than:
Select correct option:
Mean*(ans)
Median
Mode
Total

Question # 6 of 10 ( Start time: 07:32:55 PM ) Total Marks: 1
The difference between estimated value and the population value is called
Select correct option:
Sampling Error
Non Random Error
Non Sampling Error
Random Error*(ans)

Question # 7 of 10 ( Start time: 07:34:23 PM ) Total Marks: 1
The sum of squared deviations from mean is:
Select correct option:
Maximum
Minimum
Zero*(ans)
Undefined

Question # 8 of 10 ( Start time: 07:35:01 PM ) Total Marks: 1
For the given data 20, 13, 27, 0, -8 G. M will be:
Select correct option:
Negative*(ans)
Positive
Zero
Undefined

Question # 9 of 10 ( Start time: 07:36:02 PM ) Total Marks: 1
What is the median for the following data: 1,1,2,2,5,5,7,7,7
Select correct option:
1
2
5*(ans)
7

When the deviations (excesses and defects) from the true value tend to occur equally, it is called:
Select correct option:
Unbiased error*(ans)
Biased error
Systematic error
Mistake

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
  • 2
  • 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
            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
            Hypergeometric 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:
            Statistic
            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:
            Zero to infinity
            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
            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:
            P               
            NP
            NP (1-p)
            Xnp
Question # 8 of 10 ( Start time: 06:54:23 PM )          Total Marks: 1
ANOVA stands for
Select correct option:
            Analysis of variance
            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
            Highly peaked
            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
            There are 100% chances of falling true value of the parameter
            All are correct
Question # 1 of 10 ( Start time: 07:03:59 PM )          Total Marks: 1
If a random variable X denotes the number of heads when we toss a fair coin 5 times, the X assumed the values:
Select correct option:
            0,1,2,3
            1, 2,3,4,5
            0, 1, 2,3,4,5
            1, 5, 5
Question # 2 of 10 ( Start time: 07:04:50 PM )          Total Marks: 1
Which of the following is most important and most widely used method in point estimation?
Select correct option:
            The method of moments
            The method of fractional moments
            The method of least square
            The method of maximum likelihood
The method of maximum likelihood is regarded as the MOST important method of estimation, and is the most widely used method. This method was introduced in 1922 by Sir Ronald A. Fisher (1890-1962).The mathematical technique of finding Maximum Likelihood Estimators is a bit advanced, and involves the concept of the Likelihood Function.
Question # 3 of 10 ( Start time: 07:05:41 PM )          Total Marks: 1
F-distribution is skewed to the
Select correct option:
            Right
            Left
            Right and Left
            None of these
Question # 4 of 10 ( Start time: 07:06:49 PM )          Total Marks: 1
As sample size goes up, what tends to happen to 95% confidence intervals?
Select correct option:
            They become wider
            They become more precise
            They become more narrow
            They become more precise and narrow
Question # 5 of 10 ( Start time: 07:08:10 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
            Sample variance
            Reciprocal of the sample variance
Question # 6 of 10 ( Start time: 07:09:29 PM )          Total Marks: 1
In general, the estimators obtained by the method of moments are ………….
Select correct option:
            Biased
            Inconsistent
            Inefficient
            All the above
Question # 7 of 10 ( Start time: 07:10:49 PM )          Total Marks: 1
When we draw the sample with replacement, the probability distribution to be used is:
Select correct option:
            Binomial
            Hypergeometric
            Binomial & hypergeometric
            Poisson
Question # 8 of 10 ( Start time: 07:11:28 PM )          Total Marks: 1
ANOVA stands for
Select correct option:
            Analysis of variance
            Analysis of covariance
            Analysis of variables
            All above
Question # 9 of 10 ( Start time: 07:12:00 PM )          Total Marks: 1
Suppose 60% of a herd of cattle is infected with a particular disease. Let Y = the number of non-diseased cattle in a sample of size 5. The distribution of Y is:
Select correct option:
            Binomial with n = 5 and p = 0.6
            Binomial with n = 5 and p = 0.4
            Binomial with n = 5 and p = 0.5
            Poisson with u = .6
Question # 10 of 10 (Start time: 07:13:04 PM)          Total Marks: 1
The value of chi square can never be:
Select correct option:
            Zero
            Less than 1
            Greater than 1
            Negative
                
Question # 1 of 10 ( Start time: 07:28:04 PM )          Total Marks: 1
We use the Poisson approximation to the binomial when:
Select correct option:
            p is 0.01 or less & n is 10
            p is 0.05 or less & n is 50
            p is 0.04 or less & n is 15
            p is 0.02 or less & n is 10
Question # 2 of 10 ( Start time: 07:29:12 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
            Sample variance
            Reciprocal of the sample variance
Question # 3 of 10 ( Start time: 07:29:39 PM )          Total Marks: 1
If b(x; 15, 0.75), the mean of this distribution is:
Select correct option:
            11.50
            11.15
            11.20
                    11.25
Question # 4 of 10 ( Start time: 07:31:02 PM )          Total Marks: 1
Under which of the following circumstances is it impossible to construct a confidence interval for the population mean?
Select correct option:
            A normal population with a large sample and a known population variance
            A non-normal population with a large sample and an unknown population variance
            A normal population with a large sample and a known population variance
            A non-normal population with a small sample and an unknown population variance
Question # 5 of 10 ( Start time: 07:32:27 PM )          Total Marks: 1
In completely randomized design (CRD) treatments are assigned to experimental units completely at random, i.e. randomization is done without any?
Select correct option:
            Objection
            Restriction
            Obligation
            All above mentioned
Question # 6 of 10 ( Start time: 07:33:42 PM )          Total Marks: 1
If the random variable “X” follows F-distribution with v1 and v2 degrees of freedom, then reciprocal of “X” i.e. “1/X” also follows F-distribution with respective degrees of freedom
Select correct option:
            v1
            v2
            V1 and v2
            V2 and v1
Question # 7 of 10 ( Start time: 07:35:02 PM )          Total Marks: 1
The precision of an estimator can be increased by decreasing the;
Select correct option:
            Level of significance
            Number of parameters
            Number of estimators
            Size of sample
Question # 8 of 10 ( Start time: 07:36:28 PM )          Total Marks: 1
T-distribtion is applicable in case of
Select correct option:
            Independent samples
            Dependent samples
            Both independent and dependent samples
            Non-Normal populations
Question # 9 of 10 ( Start time: 07:37:49 PM )          Total Marks: 1
A consistent estimator will always be a:
Select correct option:
            Unbiased estimator
            Biased estimator
            Unbiased estimator and biased estimator
            May or may not be unbiased estimator
Question # 10 of 10 ( Start time: 07:39:15 PM )        Total Marks: 1
Which of the following is desirable for a good point estimator?
Select correct option:
            Consistency
            Unbiasedness
            Efficiency
            All of these
Question # 1 of 10 ( Start time: 07:45:27 PM )          Total Marks: 1
Suppose 60% of a herd of cattle is infected with a particular disease. Let Y = the number of non-diseased cattle in a sample of size 5. the distribution of Y is:
Select correct option:
            Binomial with n = 5 and p = 0.6
            Binomial with n = 5 and p = 0.4
            Binomial with n = 5 and p = 0.5
            Poisson with u = .6
Question # 2 of 10 ( Start time: 07:45:46 PM )          Total Marks: 1
If b(x; 15, 0.75), the mean of this distribution is:
Select correct option:
            11.50
            11.15
            11.20
            11.25
Question # 3 of 10 ( Start time: 07:46:40 PM )          Total Marks: 1
A statistic whose standard deviation decreases with an increase in sample size will be called:
Select correct option:
            Unbiased
            Consistent
            Efficient
            Sufficient
Question # 4 of 10 ( Start time: 07:48:04 PM )          Total Marks: 1
F- Distribution has………parameter(s).
Select correct option:
            One
            Two
            Three
            No
Question # 5 of 10 ( Start time: 07:49:33 PM )          Total Marks: 1
In an ANOVA test there are 8 observations in each of 3 treatments. The degree of freedom for error in CR design is:
Select correct option:
            21
            24
            14
            16
Question # 6 of 10 ( Start time: 07:50:44 PM )          Total Marks: 1
What is the mean and variance of binomial distribution b(x; n, p)?
Select correct option:
            Xp and npq
            NP and PQ
            NP and npq
            Zero and one
Question # 7 of 10 ( Start time: 07:52:08 PM )          Total Marks: 1
“A point estimate plus/minus a few times the standard error of that estimate”. This statement represents:
Select correct option:
            Confidence interval
            Critical region
            Acceptance region
            Critical value
Question # 8 of 10 ( Start time: 07:53:20 PM )          Total Marks: 1
Mean of F-distribution with V2>2 is
Select correct option:
            V1/(V2-2)
            V2/(V2-2)
            V2/(V1-2)
            V1/(V1-2)
Question # 9 of 10 (Start time: 07:54:50 PM)          
Which of the following is most important and most widely used method in point estimation?
Select correct option:
            The method of moments
            The method of fractional moments
            The method of least square
            The method of maximum likelihood
Question # 10 of 10 (Start time: 07:56:21 PM)
The hypergeometric random variable is a (an):
Select correct option:
            Continuous variable
            Discrete variable
            Undefined
            Independent
 Which of the following statements is false?
The t distribution is symmetric about zero
The t distribution is more spread out than the standard normal distribution
As the degrees of freedom get smaller, the t-distribution’s dispersion gets smaller
The t distribution is mound-shaped

 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:
Sample mean as an estimate of the population mean
Sample standard deviation as an estimate of the population standard deviation
Sample proportion as an estimate of the population proportion
Sample size as an estimate of the population size

 In testing the hypotheses Null hypothesis:  mu = 200
Alternative hypothesis:  mu less than 200 the sample mean are found to be 120. The null hypothesis:
Should be rejected
Should not be rejected
Should be rejected only if n > 30
None of the above answers is correct

For a sample of size 20 taken from a normally distributed population with standard deviation equal to 5, a 90% confidence interval for the population mean would require the use of:
t = 1.328
t = 1.729
t = 2.12
z = 1.645

 Under which of the following circumstances is it impossible to construct a confidence interval for the population mean?
A non-normal population with a large sample and an unknown population variance
A normal population with a large sample and a known population variance
Non-normal population with a small sample and an unknown population variance
A normal population with a small sample and an unknown population variance

 Suppose that a one-tail t test is being applied to find out if the population mean is less than 100. The level of significance is .05 and 25 observations were sampled. The rejection region is:
t > 1.708
t < -1. 711
t > 1.318
t < -1.316

  Which of the following is true about the t distribution?
Approaches the normal distribution as its degrees of freedom increase
Assumes the population is normally distributed
It is more spread out than the standard normal distribution
All of the above statements are true

A random sample of size 20 taken from a normally distributed population resulted in a sample variance of 32.  The lower limit of a 90% confidence interval for the population variance would be:
52.185
20.375
20.170
54.931

A random sample of size 15 taken from a normally distributed population revealed a sample mean of 75 and a sample variance of 25. The upper limit of a 95% confidence interval for the population mean would equal:
             77.769
72.231
72.727
77.273

Based on sample data, the 90% confidence interval limits for the population mean are LCL = 170.86   UCL = 195.42. If the 10% level of significance were used in testing the hypotheses
 Null:  mu = 201
 Alt:  mu not equal to 201, the null hypothesis:
Would be rejected
Would not be rejected
Would have to be revised
None of the above

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