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
To find the mean absolute deviation of the data, start by finding the mean of the data set. Find the sum of the data values, and divide the sum by the number of data values. Find the absolute value of the difference between each data value and the mean: |data value – mean
72 Kilometers = 72000 meters
1 hour = 3600 seconds
So if 72000m = 3600 secs
To find 1 sec, divide through by 3600
20m = 1 sec
To find the distance travelled in 15 secs we multiply by 15
300m = 20 secs
Answer:
2*2*2*2*5
Step-by-step explanation:
80:2=40
40:2=20
20:2=10
10:2=5
5:5=1