Answer:
y=−x−1/3x−8
Step-by-step explanation:
y=8x−1/3x+1
To find the inverse function, swap x and y, and solve the resulting equation for x.
If the initial function is not one-to-one, then there will be more than one inverse.
So, swap the variables: y=8x−1/3x+1 becomes x=8y−1/3y+1.
Now, solve the equation x=8y−1/3y+1 for y.
y=−x−1/3x−8
Sorry I was in a rush and couldn't do the fractions as formulae. Hope it helped anyways.
Answer:
5y + x = 35
Step-by-step explanation:
5y= 10 - x
y = 2 -1/5x
thus gradient m = -1/5
the eqn would be y = -1/5x + 7 or 5y + x = 35
I take it that the actual total is 538. If it really is 538538 leave me a note.
Let the first number = x
Let the second # = 44x
Let the third # = 100x
Equation
x + 44x + 100x = 538 Add the left side. All terms are part of the total.
145x = 538 Div By 145
x = 538/145
x = 3.71
Check
First number = 3.71
Second # = 44*3.71 = 163.24
Third number = 100*3.71 = 371
Total these 3 numbers 537.95 The very tiny difference is due to rounding.
Answer:
B. There is not sufficient evidence at the 0.02 level of significance that the new technique reduces training time.
Step-by-step explanation:
We are given that using traditional methods it takes 107 hours to receive an advanced flying license.
A researcher believes the new technique may reduce training time and decides to perform a hypothesis test.
Let 
= <u><em>average training time to receive an advanced flying license</em></u>
So, Null hypothesis, 
: 
107 hours {means that the new technique doesn't reduce training time}
Alternate Hypothesis, 
: < 107 hours {means that the new technique may reduce training time}
Now, it is stated that after performing the test on 50 students, the researcher decides to reject the null hypothesis at a 0.10 level of significance.
As we know that if the test statistics value is rejected at a 10% level of significance, then it must not be rejected at the 0.02 level of significance.
This means that there is not sufficient evidence at the 0.02 level of significance that the new technique reduces training time because our null hypothesis has not been rejected.
