In statistical inference for categorical data, Group of answer choices Normal data is never one of the inference assumptions. Normal data or large enough total sample size is one of the inference assumptions. Normal data is always a condition for inference.

In statistical inference for categorical data, normal data or large enough total sample size is one of the inference assumptions.

In statistics, the concept of inference refers to the generalization of observations, features, properties from samples to the entire population.

This is usually coupled with a statement about the statistical uncertainty. An example would be that the results of a random sample show that 14% of the respondents are unemployed, therefore affirming that in the total population, this percentage will be replicated.

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Normal data is never one of the inference assumptions.

Step-by-step explanation:

Normal data is never one of the inference assumptions. When measurememts are categorical, one already know that it is not a sample from a normal distribution since the categories don't have an order and approximate normal-looking samples with actual ratio data are actually rare, since ratio data are generally non-negative and typically somewhat skew.

75

step-by-step explanation:

d) 30 units^2

area of rectangle = l × b

we know,

length = 10 unit

breadth = 3 unit

applying the formula,

= l × b

= 10 × 3

= 30 unit^2

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