Well when you round to the nearest 10 it will be 1 number after the point (this is due to that 10 only has one 0.) now we know that if there is a number bigger than 5 besides the number they ask you in this case the first after the point you will add 1 to that number. in this case you will add 1 to the 3. this will give you the answer of 56.4
Hope this helps
Answer:
We are 95% confident that the proportion of American voters who favor congressional term limits is 64 percent with a difference of 3% for small sample size.
Step-by-step explanation:
95 % confidence means that we are 95 % confident that the the proportion of American voters who favor congressional term limits is 64 percent.
95 % confidence means that of all the sample about 95 % values are within in the given range.
And only 5% sample are not included in the given parameter.
Margin of error is the amount of miscalculation or difference in change of circumstances from the obtained data.
3% margin of error usually occurs when the data size is small.
As the data size increases the margin of error decreases.
So this statement tells us that we are 95% confident that the proportion of American voters who favor congressional term limits is 64 percent with a difference of 3% for small sample size.
Margin of error= z *σ/√n→
This indicates that as the sample size decreases the margin of error increases and vice versa.
Answer: 2000
Step-by-step explanation:
Answer:
Step-by-step explanation:
To find : What is a distributive property of 72 divided by 4 ?
Solution :
The distributive property of division is given by,
We have to divide 72 by 4,
So, Re-write 72 as 60+12.
Substitute,
Therefore,
Answer:
Kindly check explanation
Step-by-step explanation:
Given the following :
Old design samples(n1) = 220
New design samples (n2) = 220
P1 = 81/220 = 0.368 ; P2 = 41/220 = 0.186
Null hypothesis : p1 - p2 ≥ 0.05
Alternative hypothesis : p1 - p2 < 0.05
Using the test statistic formula :
t = (P1 - P2) / √[P(1-P)(1/n1 + 1/n2)]
P = (81 + 41)/(220 + 220) = 122/440 = 0.277
1 - P = 0.723
t = (0.368 - 0.186) / (√(0.277(0.723)(1/220 + 1/220)))
t = 4.265
P value from z test at α = 0.05
P value = 0.00002
Test for significance at α = 0.01 ;
Test for significance at α = 0.1
Result is significant at both α levels, hence reject the Null.
