<span>The place value of 1 in 5,678.321 is one-one thousands. The one digit is the third place behind the decimal point. The first place behind the decimal point is three one-tenths. The second place behind the decimal is two one-hundredths. A decimal number is a division of one. In other words, it will take a thousand one-one thousands to equal one.</span>
Answer:
You are close it is (D)
Step-by-step explanation:
Answer:
a) 1/10
b) 110
Step-by-step explanation:
A) we start by getting the total number of rolls
That would be;
11 + 22 + 7 + 8 + 13 + 19 = 80
The frequency of getting a 4 is 8
The probability that the next roll will be a 4 is;
8/80 = 1/10
b) Firstly, we get the probability of getting a 2
We have this as:
22/80
So for 400 rolls, the number of 2’s will be;
22/80 * 400
= 22 * 5 = 110
Answer:
a) 

b) 

c) For this case when we increase the sample size the margin of error would be lower and then the interval would be narrower
d)
(a)
Solving for n we got:
(b)
And replacing the info we have:

Step-by-step explanation:
Part a
For this case we have the following data given
represent the sample mean for the customer order totals
represent the population deviation
represent the sample size selected
The confidence level is 90% or 0.90 and the significance level would be
and
and the critical value from the normal standard distirbution would be given by:

And the confidence interval is given by:

And replacing we got:


Part b
The sample size is now n = 75, but the same confidence so the new interval would be:


Part c
For this case when we increase the sample size the margin of error would be lower and then the interval would be narrower
Part d
The margin of error is given by:
(a)
Solving for n we got:
(b)
And replacing the info we have:

Hello there,
The outlier of the data set is 92. Lets first find everything with the outlier.
Mean: 60.08
Median: 57
Mode: 52
Range:46
Now let's take out the outlier of the set and see the difference.
Mean: 54.27
Median:56
Mode: 52
Range: 15
So as we can see without the outlier everything is closer together. The outlier shouldn't be included because that makes the entire set screwed up. The data is more accurate without the outlier.
Hope this helps!