Answer:
a. The null hypothesis for this test is that the observed distribution is the same as uniform distribution
b. The degrees of freedom do you have for this test is 4
c. The calculated value of the test statistic is 9.250
Step-by-step explanation:
a. According to the given data we can conclude that the null hypothesis for this test is that the observed distribution is the same as uniform distribution.
b. In order to calculate the degrees of freedom do you have for this test we would have to make the following calculation:
degrees of freedom=k-1
degrees of freedom=5-1
degrees of freedom=4
c. In order to calculate the value of the test statistic first we have to calculate the frecuency expected as follows:
expected frecuency=total observed frecuency/total number of category
expected frecuency=1,000/5
expected frecuency=200
Hence, to calculate the value of the test statistic we have to calculate the following formula:
x∧2=∑(fo-fe)∧2/fe
=(185-200)∧2/200+(230-200)∧2/200+(215-200)∧2/200+(180-200)∧2+(190-200)∧2
=9.250
The calculated value of the test statistic is 9.250
Gross pay = $2,759.00
Total deductions = 7.65%+12%+7% = 26.65% = 0.2665
By thumb rule, rent and other fixed expenses ≤ 28% of Monthly gross salary
Therefore,
Allowed housing and fixed expenses = 0.28*2,759 = $772.52
Then, a. is the correct answer.
<h3>Option D</h3><h3>The expression can be used to find the price of a $400 telescope after a 32% markup is: 400 + 400 (0.32 )</h3>
<em><u>Solution:</u></em>
Given that,
Price of telescope = $ 400
Mark up = 32 %
To find: Cost after mark up
The formula used is:
<h3>Cost after mark up = Price of telescope + 32 % of Price of telescope</h3>
Therefore,
Cost after mark up = 400 + 32 % of 400

Thus cost after mark up is $ 528 and expression is 400 + 400 (0.32 )