<h2>Greetings!</h2><h3>To find the first probability, you first find the amount of $10 bills and the total amount. Then you can put this into a fraction:</h3>
<h3>Now, do the same but for the total amount, be sure to remove 1 because you have not returned the first one picked. Now find the amount of $1 bills too:</h3>
<h3>Now you have two fractions of two consecutive events, now just simply multiply the two together:</h3>
x = 
<h3>Now as both numbers are factors of 6, both can be divided by 6 to get a simplified probability:</h3>
÷ 6 = 
<h3>So P($10 then $1) =
</h3>
<h2>Hope this helps!</h2>
The standard deviation is 4 games
A standard deviation (or σ) is a measure of how dispersed the facts are in relation to the mean. Low general deviation method statistics are clustered around the imply, and excessive trendy deviation indicates facts are more unfold.
Don't forget the statistics set: 2, 1, 3, 2, four. The mean and the sum of squares of deviations of the observations from the mean will be 2. 4 and 5.2, respectively. as a consequence, the same standard deviation could be √(5.2/5) = 1.01.
In data, the same old deviation is a degree of the quantity of variant or dispersion of a set of values. A low preferred deviation indicates that the values tend to be close to the mean of the set, while a high general deviation shows that the values unfold out over a much broader variety.
Given that,
mean = μ = 18
standard deviation = Σ = 6
n = 2
μ x = μ = 18 games
√ x = Σ / √ = 6
√2 = 4 games
Learn more about standard deviation here brainly.com/question/12402189
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Standard form is ax + by = c.
To change y+2 = 3(x-2) into that form, do:
y+2-2 = 3x -6 -2
-3x + y = -8
Which is not in the list, so none of the answers are right...
Answer:
There is no enough evidence to reject the claim using a level of significance of 5%
Step-by-step explanation:
Let p be the true proportion of homeowners in Omaha who own a lawnmower. We want to test
vs 
(two-tailed alternative).
We have a large sample of size n = 500 and a point estimate for p is 
. The test statistic is given by
where 
is the standard error of 
when 
is true. The observed value is 
= 1.4064 which comes from a standard normal distribution. Because we want to use a level of significance of 5%, our rejection region is RR={z | z < -1.96 or z > 1.96} where -1.96 and 1.96 are the 2.5th and 97.5th quantiles respectively. Because 1.4064 does not belong to RR, we fail to reject the null hypothesis.
64cm2 but make the number two small and in the corner of the m
70 square feet
