Answer:
A) The greater the variance within the population, the larger the sample should be.
Explanation:
The variance of a sample mean is inversely proportional to the sample size, that is, the larger the sample size the smaller the variability of the sample. When sample size increases, the range decreases and hence the variance decreases resulting in a more accurate research result with minimal experimental error.
Hence the researcher should employ a large sample size to reduce the variation in the population.
Answer:
stimulus error
Explanation:
According to my research on introspective analysis, I can say that based on the information provided within the question the term being described in the question is a stimulus error. This is basically when the object being analyzed influences the observer causing you to provide false conclusions.
I hope this answered your question. If you have any more questions feel free to ask away at Brainly.
Answer:
C. linear association
Explanation:
A linear association is when a scatterplot follows a line almost perfectly, also known as proportionally. In this case, it is called a LSRL (least squares regression line)
For this specific graph, we can draw a line down the middle of the points, and it will be perfect. Therefore, it is a linear association.
Answer:
B. age stereotype.
Explanation:
Stereotype refers to a generic mental image about the members of a group, reflecting an overly simplified view, prejudiced mindset, or uncritical judgment. When a person equates aging with frailty and deterioration, he equipped with the capacity to perpetuate ageism because he tends to find ill health to be undesirable in old age and do not realize the wide diversity of older adults.
Because of past experiences and feelings.
