Answer:
n=237
Step-by-step explanation:
Previous concepts
The margin of error is the range of values below and above the sample statistic in a confidence interval.
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
Assuming the X follows a normal distribution
We know that the margin of error for a confidence interval is given by:
(1)
The next step would be find the value of , and
Using the normal standard table, excel or a calculator we see that:
If we solve for n from formula (1) we got:
And we have everything to replace into the formula:
And if we round up the answer we see that the value of n to ensure the margin of error required is n=237.
Answer:
it is true
Step-by-step explanation:
A test statistic compares our observed outcome to the alternative hypothesis. If the null hypothesis is true, then the teststatistic will be close to 0. Therefore, the farther the test statistic is from 0, the more the null hypothesis is discredited.
Answer:
The correct answer to the following question will be "No". The further explanation is given below.
Step-by-step explanation:
Probability (Keeping the disease out of 1 contact)
=
Probability (not keeping the disease out of 1 contact)
=
=
Now,
Probability (not keeping the disease out of 2 contact)
= Keeping the disease out of 1 contact × not keeping the disease out of 1 contact
On putting the estimated values, we get
=
=
So that,
Probability (Keeping the disease out of 2 contact)
=
=
∴ Not 100%
Answer:
There is a 69.15% probability that it weighs more than 0.8535 g.
Step-by-step explanation:
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean and standard deviation , the zscore of a measure X is given by
After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X. Subtracting 1 by the pvalue, we This p-value is the probability that the value of the measure is greater than X.
In this problem, we have that
The weights of a certain brand of candies are normally distributed with a mean weight of 0.8547 g, so .
We have a sample of 463 candies, so we have to find the standard deviation of this sample to use in the place of in the Z score formula. We can do this by the following formula:
Find the probability that it weighs more than 0.8535
This is 1 subtracted by the pvalue of Z when
So
has a pvalue of 0.3085.
This means that there is a 1-0.3085 = 0.6915 = 69.15% probability that it weighs more than 0.8535 g.
0 10 3
10 20 4
20 30 6
30 40 4
40 50 3
Find the proportion of selling times in the sample that are less than 20 days claims that it can sell a detached, residential house faster than any other realty company.
Answer:
0.35
Step-by-step explanation:
Given the data:
Selling Time___ Frequency
0 10____________3
10 20__________ 4
20 30__________ 6
30 40__________ 4
40 50__________ 3
Proportion of selling time in sample above that are less Than 20 days :
Taking the sum of the frequency :
Hence, total frequency = (3 + 4 + 6 + 4 + 3) = 20
Selling time which is less Than 20 days :
(0 - 10) = 3
(10 - 20) = 4
Total = (3 + 4) = 7
Proportion = selling time less Than 20 days / total frequency
= 7 / 20
= 0.35
Answer:
she develops a fair and healthy relationship with her classmate but also she elected the class president at their school
Step-by-step explanation:
vote me as the brainliest