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Chapter 3: Tests Based on Sampling Distributions - II — Online MCQ Test

STATISTICS · CLASS 12th · Tamil Nadu State Board

Practice Chapter 3: Tests Based on Sampling Distributions - II with a free chapter-wise online MCQ test for Tamil Nadu State Board CLASS 12th STATISTICS. This chapter covers: This chapter covers F-test for equality of two variances chi-square test of goodness of fit and chi-square test of independence of attributes. Students master contingency table ana.... AI-generated questions from basic to board-exam level, with instant results and explanations.

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Chapter 3: Tests Based on Sampling Distributions - II — Important Questions & Answers (FAQ)

Frequently asked questions from Tamil Nadu State Board CLASS 12th STATISTICS — Chapter 3: Tests Based on Sampling Distributions - II, with answers and explanations. These are sample questions; the exam has its own separate question set.

In an F-test for equality of two population variances, the test statistic is based on the ratio of the two sample variances. Which form is usually taken?
  • A. Smaller variance / Larger variance
  • B. Larger variance / Smaller variance ✓
  • C. Sum of the two variances
  • D. Difference of the two variances
Answer: B. Larger variance / Smaller variance
The F-statistic is generally formed as the ratio of the larger sample variance to the smaller sample variance so that the value is at least 1.
The chi-square test is commonly used to test whether the observed frequencies agree with the expected frequencies under a specified distribution. This is called the test of
  • A. Independence of attributes
  • B. Goodness of fit ✓
  • C. Equality of means
  • D. Correlation
Answer: B. Goodness of fit
A chi-square goodness of fit test compares observed and expected frequencies to judge how well the data fit a given distribution.
For a chi-square goodness of fit test, if the calculated value exceeds the table value at a given level of significance, then we
  • A. accept the null hypothesis
  • B. reject the null hypothesis ✓
  • C. accept the alternative hypothesis as true
  • D. increase the degrees of freedom
Answer: B. reject the null hypothesis
If the calculated chi-square value is greater than the critical value, the deviation is significant and the null hypothesis is rejected.
Which of the following is the correct order of steps in a chi-square test of independence?
  • A. Compute expected frequencies, form hypotheses, calculate chi-square, compare with table value
  • B. Form hypotheses, compute expected frequencies, calculate chi-square, compare with table value ✓
  • C. Compare with table value, form hypotheses, calculate chi-square, compute expected frequencies
  • D. Form hypotheses, compare with table value, compute expected frequencies, calculate chi-square
Answer: B. Form hypotheses, compute expected frequencies, calculate chi-square, compare with table value
The usual procedure is to set hypotheses first, then compute expected frequencies, calculate the chi-square statistic, and finally compare with the critical value.
Which of the following situations is best analyzed using the chi-square test of goodness of fit rather than the test of independence?
  • A. Checking whether gender and blood group are related
  • B. Checking whether two brands of machines have equal variances
  • C. Checking whether a given set of observed frequencies follows a theoretical distribution ✓
  • D. Checking whether marks and height are correlated
Answer: C. Checking whether a given set of observed frequencies follows a theoretical distribution
Goodness of fit is used when observed frequencies are compared with a specified theoretical distribution, not to study association between two attributes.

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