Match the words with their definitions. 1. Reasoning from a sample to a population.
2. Successive observations of a system or phenomenon do not produce exactly the same result.
3. An observation that differs considerably from the main body of the data.
4. The entire collection of objects or outcomes about which data are collected.
5. A subset of the population containing the observed objects or outcomes and the resulting data from these objects or outcomes.
A. Population
B. Sample
C. Statistical Inference
D. Variability
E. Outlier

1. Statistical Inference

2. Variability.

3. Outlier.

4. Population.

5. Sample.

Step-by-step explanation:

1. Statistical Inference: Reasoning from a sample to a population. For example, the average common entrance score of all examinees (population l) in New York city or a business that collects data from a random sample of 100 consumers and recorded whether they are male or female.

2. Variability: Successive observations of a system or phenomenon do not produce exactly the same result. For instance, the distribution having the same value of mean can have varying variability.

3. Outlier: An observation that differs considerably from the main body of the data. For example, in the following scores 1, 2, 3, 4, 50, 5, 60; both 50 & 60 is an outlier.

4. Population: The entire collection of objects or outcomes about which data are collected. For example, the number of new born babies in a hospital, the total number of football players in a soccer league.

5. Sample: A subset of the population containing the observed objects or outcomes and the resulting data from these objects or outcomes. For example, the average height of girls in a class having a population of 10 boys and 20 girls.

< 4, -5>

step-by-step explanation:

starting from g. we move 4 right and then 5 down to get to h. that means the vector is < 4, -5>

60

step-by-step explanation: