Answer:
a. A relative-frequency distribution relates to a variable just as a _____probability_____ distribution relates to a random variable. b. A relative-frequency histogram pertains to a variable similarly to how a _____probability_____ histogram pertains to a random variable.
Step-by-step explanation:
Probability, a mathematical concept, involves numerical assessments of how likely a certain event may occur, indicating the validity of its occurrence. The range for the probability of any event is typically between 0 and 1,
with 0 signifying impossibility and 1 indicating certainty of occurrence.
<span>To isolate p, start by subtracting B from both sides: SA-B=1/2lp. Next, multiply both sides by 2 to eliminate the 1/2: 2SA=lp. Finally, divide both sides by l to derive p: (2SA)/l=p.</span>
I think it’s 156 hundreds, 3 tens, and 8 ones.
Answer:
The P-value signifies that the likelihood of obtaining a linear correlation coefficient that is as extreme or more extreme is 3.5%, which is considered significant at α=0.05. Thus, we have sufficient evidence to assert that there exists a linear correlation between the weight of automobiles and their highway fuel consumption.
Step-by-step explanation:
The correlation coefficient demonstrates the relationship between the weights and highway fuel consumption values across seven distinct types of automobiles.
The P-value expresses the significance of this connection. If the p-value is beneath a significance level (e.g., 0.05), it indicates that the relationship is indeed significant.
