Answer:
yah theek hai
mere paas likhne ka yahi kaam tha
Answer:
unconventionality
Explanation:
In the criteria of mental illness, unconventionality refers to a characteristic that possessed by a person but considered as very uncommon or abnormal in the society where that person lives.
Having unconventional behavior does not necessarily that a person has a mental illness, but if combined with other factors, unconventionality can be used as a strong indicator that someone is having a mental illness.
The One-Way ANOVA test represents the best choice if one wants to compare the average number of adjustments made by service representatives at five different locations within a region.
The null hypothesis, which claims that samples from populations with the same mean values are used to create all of the groups' samples, is tested by the ANOVA.
The population variance is estimated twice to accomplish this. Numerous assumptions underlie these estimations. An F-statistic is generated by the ANOVA and represents the proportion of variation within the samples to variance estimated among the means.
According to the central limit theorem, the variance of the group means should be less than the variance of the samples if the group means are taken from populations with similar mean values. A larger ratio suggests that samples were taken from populations with different mean values, which is implied by a higher ratio.
To learn more about the One-Way ANOVA test refer to:
brainly.com/question/23638404
#SPJ1
Answer:
producers need to know that consumers want so they can sell more and make more profit
Explanation:
hope this helps
A multiple-choice test is a good example of a test of: recognition.
Recognition tests sees what a person has been taught before and allows them to pick the appropriate response to a question based on what they've learned previously. When you are picking from a list of choices, you are able to see various answers that could be correct but are expected to be able to decipher between them and chose the right one.
