Answer:
 1.42 x 105
Step-by-step explanation:
 
        
                    
             
        
        
        
Answer:
1) r, q, s. 2). 5
Step-by-step explanation:
1) from the given (q) is smaller than (r) and (s) is less than (q) by 2. 
2) you need to make all the fractions have the same numerator so you will multiply both the firs and third fraction by 3÷3 ( which is 1 and will not affect the value but will make the numerator of the fractions equal) and the fractions between them is the second fraction and it's denominator is x and there is 5 fractions between the two numbers so there are 5 possible values of x
 
        
             
        
        
        
X=7 over 8 or 0.875 is the answer
        
             
        
        
        
Answer:
10
Step-by-step explanation:
f(x) = 3x + 1
f^-1 = x-1/3 , it is known as inverse function.
 f(3)= 3*3 +1
 =9+1
 =10
 
To find inverse,
 x=3x + 1
y=3x+1
Exchanging the position or x and y
 x=3y+1
 x-1=3y
.•. y=x-1/3
 
        
             
        
        
        
The multinomial setting goodness of fit test allows to check whether the distribution of a sample corresponding to a qualitative variable (or discrete quantitative variable) is consistent with the expected results.
The Chi-square goodness of fit test is a statistical hypothesis test used to determine whether a variable is likely to come from a specified distribution or not. It is often used to check whether the sample data is representative of the full population or is it biased.
The degrees of freedom for the chi-square goodness of fit is  calculated by using the following formula: df = (r-1)(c-1) where r is the number of rows and c is the number of columns. The following conditions are the conditions required: The sampling method should be simple random sampling. The variable being observed is categorical. The expected value of the number of sample observations for each variable is at least 5.
Therefore, The multinomial setting goodness of fit test allows to check whether the distribution of a sample corresponding to a qualitative variable (or discrete quantitative variable) is consistent with the expected results.
To learn more about goodness of fit refer here
brainly.com/question/23475357
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