Measure your foot size then go to the wall barefooted and walk in a straight line to the door the wall to wall the against the wall then add
3 hours
You can turn this into an equation:
F = 26 + 31t
Where F is the money Ralph earned, and t is the number of hours he worked.
Plugging in the 119 for F, we get
119 = 26 + 31t
93 = 31t
3 = t
8 quarters = (8 x .25) = $2.00
5 dimes = (5 x .10) = $.50
$2.00 + $.50 = $2.50
8 + 5 = 13
A family-wise inflation of error rate is the <u>increase</u> in the probability that one or more results of a numerous, independently (separately) conducted statistical analyses to become statistically significant, but these results can actually be attributed to random variation or measurement error.
In Statistics, a family-wise inflation of error rate is also referred to as family-wise error rate (FWER) and it can be defined as the probability of making at least one false conclusion or type I errors in numerous, separate statistical analyses or hypothesis tests.
Hence, a family-wise inflation of error rate increases the probability that one or more of the results among groups within an independent data set to be statistically significant, especially due to random variation or measurement error.
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