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Properties of Point Estimators MCQ (Multiple Choice Questions) PDF Download
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The Properties of Point Estimators Multiple Choice Questions (MCQ Quiz) with Answers PDF (Properties of Point Estimators MCQ PDF e-Book) download to learn MBA Business Statistics Tests. Study Descriptive Statistics Multiple Choice Questions and Answers (MCQs), Properties of Point Estimators quiz answers PDF for online certificate programs. The Properties of Point Estimators MCQ App Download: Free MBA Business Statistics Learning App for descriptive statistics test prep for affordable online MBA programs.
The MCQ: A comparison with test statistic to determine whether the null hypothesis should be rejected is called; "Properties of Point Estimators" App Download [Free] with answers: critical interval, critical value, confidence coefficient, and confidence interval for online certificate programs. Practice Properties of Point Estimators Quiz Questions, download Apple e-Book (Free Sample) .
Properties of Point Estimators Questions and Answers PDF Download
A comparison with test statistic to determine whether the null hypothesis should be rejected is called
- Critical interval
- Critical value
- Confidence coefficient
- Confidence interval
Probability sampling techniques named as systematic sampling and
- Cluster sampling
- Stratified sampling
- Random sampling
- Both A and B
The point estimator with the smaller standard error is said to have greater
- Biasness
- Unbiasness
- Efficiency
- Consistency
More evidences against the null hypothesis can be measured given by
- Smaller p-values
- Larger p-values
- Narrow confidence interval
- Wide confidence interval
A measure of the evidence against the null hypothesis given by the sample is known to be as
- Critical value
- Test statistics
- p-value
- Level of significance
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Properties of Point Estimators MCQs Book Questions
- For residual sum of square of F-test, degree of freedom is taken as
- Sum of all observations divided by total number of observations is computation of
- Prediction of model includes variance of error term and parameter estimates which incase of homoscedasticity are
- Sampling distribution of appropriate sample statistic can be identified in
- A random variable say x, having infinite or complex range of values is called