The table gives you x and y coordinates. The graph has an x and y axis. Your x coordinates are paired with your y coordinates. Remember to always start at the origin, when plotting your points. For example, if the table gave you 2 for x and 3 for y. You would go 2 units across and 3 units up. Then, plot that point. Continue plotting the points and then if it's a linear graph, make a line with a ruler going through the points.
Let us assume the weight of the red snapper caught by Dana = X
The weight of the tuna caught by Jason was 3 times the weight of the snapper caught by Dana. Then,
Weight of the tuna caught by Jason = 3X
Weight of the sailfish caught by Murray is 12 times the weight of the red snapper caught by Dana. Then,
Weight of the sailfish caught by Murray = 12X
The combined weight of the 3 fishes caught = 208 pounds.
Then,
X + 3X + 12X = 208
16X = 208
X = 208/16
= 13
So the red snapper weighed 13 pounds
The weight of the tuna caught by Jason = 3X
= 3 * 13
= 39
So the tuna weighed 39 pounds.
Here it is listed from greatest to least:
56.32, 56.321, 56.2
Using the normal distribution, there is a 0.1587 = 15.87% probability that’s a car picked at random is traveling at more than 100 km/hr.
<h3>Normal Probability Distribution</h3>
The z-score of a measure X of a normally distributed variable with mean and standard deviation is given by:
- The z-score measures how many standard deviations the measure is above or below the mean.
- Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
The mean and the standard deviation are given, respectively, by:
The probability that’s a car picked at random is traveling at more than 100 km/hr is <u>one subtracted by the p-value of Z when X = 100</u>, hence:
Z = 1
Z = 1 has a p-value of 0.8413.
1 - 0.8413 = 0.1587.
0.1587 = 15.87% probability that’s a car picked at random is traveling at more than 100 km/hr.
More can be learned about the normal distribution at brainly.com/question/28096232
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Answer:not sure wat u are asking for
Step-by-step explanation: