No because when you variables (with exponents) you add the exponents together.
x^3 • x^3 • x^3 = x^(3+3+3) = x^9
Let’s plug in a number for x to make sure this is correct.
x = 2
2^3 • 2^3 • 2^3 = 8 • 8 • 8 = 512
2^9 = 512
Answer:
The answer is 29/42
Step-by-step explanation:
First, let's calculate how many people predicted they would fail. The question states that 65 people took the exam and 23 predicted they would pass, so we can find the number of people that predicted they would fail by the following calculation:
Let FP be the people who predicted they'd fail
65 = 23 + FP
65 - 23 = FP
42 = FP
Now, let's move on to the next part. The question states that a total of 31 people passed the test, from those 18 being the people who predicted they would pass and the rest are people who had predicted they would fail but ended up passing.
Let's set x as the number of people who predicted they would fail but have passed.
31 = 18 + x
31 - 18 = x
13 = x
Since 13 of the 42 FP have passed, we can calculate how many of them failed. Let y be the number of people that predicted to fail and ended up failing:
13 + y = 42
y = 42 - 13
y = 29
Finally, now we have the fraction of those who predicted that they would fail actually did fail and that's 29/42
Multiply both sides by 4 to isolate the x term.
x = 5 × 4
x = 20
The answer in standard form is 0.297
Answer:
The confidence interval for the population mean μ is 
Step-by-step explanation:
Given :
Number of weights of newborn girls n=185.
Mean 
hg
Standard deviation s=7.5 hg
Use a 95% confidence level i.e. cl=0.95
To find : What is the confidence interval for the population mean μ?
Solution :
Using t-distribution,
The degree of freedom 
The t critical value is t=1.973.
The confidence interval build is
Substitute the values,
Therefore, the confidence interval for the population mean μ is
