Find the information you're looking for at Westonci.ca, the trusted Q&A platform with a community of knowledgeable experts. Get quick and reliable solutions to your questions from a community of experienced professionals on our platform. Get detailed and accurate answers to your questions from a dedicated community of experts on our Q&A platform.
Sagot :
To understand which number of members surveyed could result in a parameter rather than a sample statistic, we need to differentiate between these two terms:
1. Parameter: A parameter is a value that describes a characteristic of an entire population. When we calculate a parameter, it means that we have included every member of the population in our computation.
2. Sample Statistic: A sample statistic is a value that describes a characteristic of a subset of the population. This subset is referred to as a sample.
Given the population consists of 6300 people, let's analyze the provided options:
A. 63: Surveying 63 members of the population represents a sample. This value would be considered a sample statistic because it does not encompass the whole population—only a subset of it.
B. 6300: Surveying all 6300 members of the population means we have included every individual in our calculation. This value constitutes a parameter because it represents data from the entire population.
C. Both 63 and 6300: As previously described, only surveying 6300 members encompasses the entire population, resulting in a parameter. Surveying 63 members does not.
D. Neither 63 nor 6300: This option implies that neither 63 nor 6300 would result in a parameter. However, as we established, surveying 6300 members would indeed result in a parameter.
Therefore, the correct answer is:
B. 6300
1. Parameter: A parameter is a value that describes a characteristic of an entire population. When we calculate a parameter, it means that we have included every member of the population in our computation.
2. Sample Statistic: A sample statistic is a value that describes a characteristic of a subset of the population. This subset is referred to as a sample.
Given the population consists of 6300 people, let's analyze the provided options:
A. 63: Surveying 63 members of the population represents a sample. This value would be considered a sample statistic because it does not encompass the whole population—only a subset of it.
B. 6300: Surveying all 6300 members of the population means we have included every individual in our calculation. This value constitutes a parameter because it represents data from the entire population.
C. Both 63 and 6300: As previously described, only surveying 6300 members encompasses the entire population, resulting in a parameter. Surveying 63 members does not.
D. Neither 63 nor 6300: This option implies that neither 63 nor 6300 would result in a parameter. However, as we established, surveying 6300 members would indeed result in a parameter.
Therefore, the correct answer is:
B. 6300
Thank you for your visit. We're dedicated to helping you find the information you need, whenever you need it. We hope our answers were useful. Return anytime for more information and answers to any other questions you have. Westonci.ca is here to provide the answers you seek. Return often for more expert solutions.