Answer: Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that the distribution of the sample is consistent with the distribution of the state populations.
Explanation:
The null and alternative hypotheses are:
The sample of 1000 subjects has a distribution that is consistent with the distribution of state populations.
The sample of 1000 subjects does not have a distribution that is consistent with the distribution of state populations.
Under the null hypothesis, the test statistic is:

From the attachment, we clearly see the chi-square statistic is:

Now we have to find the chi-square critical value at 0.05 significance level for df = n - 1 = 4-1=3. Using the chi-square distribution table, we have:

Since the chi-square statistic is greater than the chi-square critical value, we therefore reject the null hypothesis and there is sufficient evidence to warrant rejection of the claim that the distribution of the sample is consistent with the distribution of the state populations
so their difference is 864π - 648π = 216π.
if we take 864π to be the 100%, what is 216π off of it in percentage?
Answer:
3 years
Step-by-step explanation:
I assume it's simple interest.
I = Prt
132 = 800 * 0.055 * t
t = 132/(800 * 0.055)
t = 132/44
t = 3
Answer: 3 years
Answer:
C 210
Step-by-step explanation:
To solve this, First we must take 42/3, Since it equals 14, we take 15x14 and find 210
(edit: to solve for Kim's missing values, you do the same with 2 and 32)
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