An interval scale has measurements where the difference between values is meaningful. For example, the year 0 doesn’t imply that time didn’t exist. And similarly, a temperature of zero doesn’t mean that temperature doesn’t exist at that point. Arbitrary zeros (and the inability to calculate ratios because of it) are one reason why the ratio scale — which does have meaningful zeros — is sometimes preferred.
Answer:
D. Both distributions are skewed left, so the interquartile range is the best measure to compare variability.
Step-by-step explanation:
Plotting the data roughly shows that the data is skewed to the left. In other words, data is skewed negatively and that the long tail will be on the negative side of the peak.
In such a scenario, interquartile range is normally the best measure to compare variations of data.
Therefore, the last option is the best for the data provided.
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Answer:
-x + 5y = 12
Step-by-step explanation:
Eliminate the fractional coefficient by multiplying both sides by 5:
5y - 15 = x - 3
Combine the constants: 5y = x + 12
Subtract x from both sides: -x + 5y = 12 This is in standard form
Answer:
$425
Step-by-step explanation:
x = bench
x - 69 = garden table
x + (x - 69)=781
x + x - 69 =781
2x - 69 = 781
2x -69 +69 = 781 + 69
2x = 850
2x/2 = 850/2
x = 425
Bench = 425