Answer:
11
Step-by-step explanation:
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What percentage of Anchor Global Insurance Full Time employees are employed in the US?
1 answer:
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Answer:
The outlier on the the scatter plot is point L(6,2).
Step-by-step explanation:
M(3,3)
P(5,5)
N(5,7)
L(6,2)
Other points are : (1,3), (2,3), (2,4), (3,4), (3,5), (4,5), (4,6), (5,6)
Now, To find the outliers on the scatter plot we plot all the given points on the graph.
The resultant graph is attached below :
An outlier is a value in a data set that is very different from the other values. That is, outliers are values which are usually far from the middle.
As we can see the graph the point L(6,2) is the most unusual or the farthest point on the scatter plot as compared with all the other points on the scatter plot.
Hence, The outlier on the the scatter plot is point L(6,2).
Answer:
A 90% confidence interval for the mean weight is [21.78 ounces, 21.98 ounces].
Step-by-step explanation:
We are given the weights, in the ounces, of a sample of 12 boxes below;
Weights (X): 21.88, 21.76, 22.14, 21.63, 21.81, 22.12, 21.97, 21.57, 21.75, 21.96, 22.20, 21.80.
Firstly, the pivotal quantity for finding the confidence interval for the population mean is given by;
P.Q. = ~
where, = sample mean weight =
= 21.88 ounces
s = sample standard deviation = = 0.201 ounces
n = sample of boxes = 12
= population mean weight
<em>Here for constructing a 90% confidence interval we have used a One-sample t-test statistics because we don't know about population standard deviation.</em>
<u>So, 90% confidence interval for the population mean, </u><u> is ;</u>
P(-1.796 < < 1.796) = 0.90 {As the critical value of t at 11 degrees of
freedom are -1.796 & 1.796 with P = 5%}
P(-1.796 < < 1.796) = 0.90
P( <
<
) = 0.90
P( <
<
) = 0.90
<u>90% confidence interval for</u> = [
,
]
= [ ,
]
= [21.78, 21.98]
Therefore, a 90% confidence interval for the mean weight is [21.78 ounces, 21.98 ounces].