This is an example of a nominal level of measurement.
In a nominal level of measurement, we are just classify the type of a variable. In this case, we are assigning a specific brand type to a particular cereal.
Answer:
A
Step-by-step explanation:
edge2021
The test statistic z will be equal to -0.946 and it shows that there is no significant difference in the proportion of rehires between full time and part time.
Given sample sizes of 833 and 386 and result of samples 434 and 189.

Proportion of full time=434/833=0.52
Proportion of part time=189/386=0.49.
Difference in proportion =0.52-0.49
TTF- i∈ rho=0
TTF+i∈ rho≠0.
Mean of difference=0.03
Z=(X-μ)/σ
σ=
=0.0317
σ=0.0317
z=(0-0.03)/0.0317
=-0.03/0.0317
=-0.317
p value will be =0.1736.
Because p value is greater than 0.01 so we will accept the null hypothesis which shows that there is no significant difference in the proportions.
Hence there is no significant difference in the proportion of rehires between full time and part time.
Learn more about z test at brainly.com/question/14453510
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<span>0.03 x 1,000=30! In multiplying decimals, you'll move the decimal's period to the number of zeroes in the multiplier! 1,000 has 3 zeroes. So, it's equal to 30. So basically he was wrong because 0.03 times 1,000 doesn't equal 3 it equals 30. He made the mistake of not moving the decimal point enough.</span>