Complete question :
The 100m dah times in the girl's track meet were normally distributed with a mean of 13 seconds and a standard deviation of 0.3 seconds.
Lana finished the race in 13.2 seconds . If 84 other girls ran in the event, approximately how many runners did she beat?
Answer:
21 runners
Step-by-step explanation:
Mean, μ = 13 seconds
Standard deviation, σ = 0.3
Lana's race time = 13.2
We find the proportion of runners who had race time above 13.2 ;
Proportion of who had race tune above 13.2
P(x > 13.2)
Obtain the Zscore
Zscore = (x - μ) / σ
Z = (13.2 - 13) / 0.3
Zscore = 0.2 / 0.3 = 0.6667
P(Z > 0.6667) = 0.25239 (Z probability calculator)
This is about 0.25239 * 100 = 25.24% = 25% (nearest percent)
Hence, Number of runners Lana beat = 25% of total runners ;
0.25 * 84 = 21
Hence, Lana beat about 21 runners
Answer:
11c
Step-by-step explanation:
Think of it like 12c-1c.
When it is c by itself, then it is just 1c.
Subtract 12-1, get 11.
Answer:
Option (4)
Step-by-step explanation:
Area of a rectangle = Length × width
If the dimensions of the given rectangle is doubled,
Area of the new rectangle = 2(Length) × 2(width)
= 4(Length × width)
= 4(x)(x - 2)
= 4[x² - 2x]
= 4x² - 8x
Therefore, Option (4) will be the correct option.
Fitted value is a prediction of the mean response value.
According to the statement
we have to explain the fitted value for the regression model and the data which uses to collect the value.
So, For this purpose, we know that the
A Fitted value is a statistical model's prediction of the mean response value when you input the values of the predictors, factor levels, or components into the model.
An the fitted value used in this model is called the predicted values of response variable in the case of multiple regression model.
And data which is used to create the fitted value is the simple data by which we create the fitted value by the predict the value of given data.
So, Fitted value is a prediction of the mean response value.
Learn more about Fitted value here
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Rationalize both the numerator and denominator. Given

we can rationalize it by introducing conjugates of the numerator and denominator:

Then the limit is equivalent to

For the remaining expression, divide through uniformly by
:

As <em>n</em> goes to infinity, the remaining terms containing <em>n</em> converge to 0, leaving

making the overall limit 3.