Chapter 13 Statistical Inferenceestimation Statistics 12th Class Punjab MCQ Tests
12th Class Statistics Chapter 13 MCQ Tests
Chapter 13 of 12th Class Statistics has 15 questions. If you take an online MCQ test, the system will randomly choose the questions. If you want to take the quiz by chapter then click the start test button.
Total Questions: 15
Total Marks: 15
Time: 15 Mins
Total Questions: 15
Total Marks: 15
Time: 15 Mins
15Min : 00 Sec Remaining
Question # 1
You are comparing freshmen and seniors at your college on hours spent studying per day. You pick a sample of 11 people from each group. For freshmen, the mean was 3 and the variance was 1.2. For seniors, the mean was 2 and the variance was 1. Calculate a 90% confidence interval on the difference between means (freshmen - seniors). What is the lower limit of this confidence interval?
Question # 2
In a sample of 800 students in a university, 160 or 20%, are Business majors. Based on the above information, the school's paper reported that "20% of all the students at the university are Business majors." This report is an example of:
Question # 3
Draw all possible samples of size 2 with replacement from population 2, 4, 6, 8, 10 and by forming the sampling distribution of variances, tell whether S2 or s2 is an unbiased estimator of σ2.
Question # 4
If critical value of normal standard variable is 0.95 and standard error of specific statistic is 3.5, then margin of error is:
Question # 5
A finite population consists of the numbers 3, 5, 7 and 9. Take all possible samples of size 2 which can be drawn with replacement from this population. Form the sampling distribution and find the mean of this sampling distribution and determine whether sample mean is an unbiased estimator of the population mean or not.
Question # 6
If the mean of the estimator is not equal to the population parameter, the estimator is said to be:
Question # 7
Which of the following is a biased estimator?
Question # 8
An estimator is a random variable because it varies from:
Question # 9
Is the maximum likelihood estimator of σ2, is an unbiased for its respective parameter?
Question # 10
Is the ^p an unbiased estimator of p?
Question # 11
If it is known that the 90% confidence limits to population mean are 41.05 and 44.35, what is the value of population standard deviation when the sample size is 64?
Question # 12
A medical researcher conjectures that smoking can result in wrinkled skin around the eyes. The researcher recruited 150 smokers and 250 nonsmokers to take part in an observational study and found that 95 of the smokers and 105 of the nonsmokers were seen to have prominent wrinkles around the eyes. Construct a 95 percent confidence interval for the difference between the two proportions.
Question # 13
Estimate is the observed value of an:
Question # 14
The quality department of an electronics manufacturer randomly selected 100 resistors. The mean resistance of the resistors was 201.5Ω and the standard deviation was 0.4Ω. Find the 98% confidence interval for this problem.
Question # 15
Hypothesis testing and estimation are the two key branches of the field of inferential statistics. This statement is:
Total Questions
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Question # 1
You are comparing freshmen and seniors at your college on hours spent studying per day. You pick a sample of 11 people from each group. For freshmen, the mean was 3 and the variance was 1.2. For seniors, the mean was 2 and the variance was 1. Calculate a 90% confidence interval on the difference between means (freshmen - seniors). What is the lower limit of this confidence interval?
Question # 2
In a sample of 800 students in a university, 160 or 20%, are Business majors. Based on the above information, the school's paper reported that "20% of all the students at the university are Business majors." This report is an example of:
Question # 3
Draw all possible samples of size 2 with replacement from population 2, 4, 6, 8, 10 and by forming the sampling distribution of variances, tell whether S2 or s2 is an unbiased estimator of σ2.
Question # 4
If critical value of normal standard variable is 0.95 and standard error of specific statistic is 3.5, then margin of error is:
Question # 5
A finite population consists of the numbers 3, 5, 7 and 9. Take all possible samples of size 2 which can be drawn with replacement from this population. Form the sampling distribution and find the mean of this sampling distribution and determine whether sample mean is an unbiased estimator of the population mean or not.
Question # 6
If the mean of the estimator is not equal to the population parameter, the estimator is said to be:
Question # 7
Which of the following is a biased estimator?
Question # 8
An estimator is a random variable because it varies from:
Question # 9
Is the maximum likelihood estimator of σ2, is an unbiased for its respective parameter?
Question # 10
Is the ^p an unbiased estimator of p?
Question # 11
If it is known that the 90% confidence limits to population mean are 41.05 and 44.35, what is the value of population standard deviation when the sample size is 64?
Question # 12
A medical researcher conjectures that smoking can result in wrinkled skin around the eyes. The researcher recruited 150 smokers and 250 nonsmokers to take part in an observational study and found that 95 of the smokers and 105 of the nonsmokers were seen to have prominent wrinkles around the eyes. Construct a 95 percent confidence interval for the difference between the two proportions.
Question # 13
Estimate is the observed value of an:
Question # 14
The quality department of an electronics manufacturer randomly selected 100 resistors. The mean resistance of the resistors was 201.5Ω and the standard deviation was 0.4Ω. Find the 98% confidence interval for this problem.
Question # 15
Hypothesis testing and estimation are the two key branches of the field of inferential statistics. This statement is:
Total Questions
123456789101112131415
Statistics MCQ Test by Topics
Statistics
- Representation and Exploration of Data
- Measure of Central Tendency or Averages
- Measures of Dispersion
- Index Numbers
- Regression and Correlation Analysis
- Analysis of Time Series
- Set Theory
- Introduction to Probability
- Random Variables and Distributions
- Binomial and Hypergeometric Distributions
- The Normal Distribution
- Sampling and Sampling Distributions
- Statistical Inference:Estimation
- Statistical Inference:Hypothesis Testing
- Association of Attributes
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