4. Which of the below statements is/are true? When testing the equality of the variances of two normal populations we use the chi-square distribution. If we have two independent samples from normally distributed populations with equal variances we use the standard normal distribution to test the difference of the population means. Is the number of nonzero sample observations is at least 20, the sign test is based on the normal approximation to the Poisson distribution. The non-parametric tests are used for hypothesis testing when a normality assumption is not tenable.

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4. Which of the below statements is/are true?
When testing the equality of the variances of two normal populations we use the chi-square distribution.
If we have two independent samples from normally distributed populations with equal variances we use the
standard normal distribution to test the difference of the population means.
Is the number of nonzero sample observations is at least 20, the sign test is based on the normal
approximation to the Poisson distribution.
The non-parametric tests are used for hypothesis testing when a normality assumption is not tenable.
Transcribed Image Text:4. Which of the below statements is/are true? When testing the equality of the variances of two normal populations we use the chi-square distribution. If we have two independent samples from normally distributed populations with equal variances we use the standard normal distribution to test the difference of the population means. Is the number of nonzero sample observations is at least 20, the sign test is based on the normal approximation to the Poisson distribution. The non-parametric tests are used for hypothesis testing when a normality assumption is not tenable.
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