What is square root of the product of the number z and itself
1 answer:
Answer:
Step-by-step explanation:
What is square root of the product of the number z and itself?
Break down into smaller parts
What is the product of the number z and itself?
Product = multiply
Write an equation multiplying z by itself
z * z
Bring back the full question: What is the square root of the product of the number z and itself?
Now we can just add a to the front of our equation to solve the problem.
Simplify
z * z =
In this case, the square root cancels out the exponent (), so
can simplify to z.
Hope this helps :)
You might be interested in
The first thing you should do is plot each region with respect to the temperature and then observe the behavior of each region.
Region A: not observable trend
Region B: exponential trend
Region C: negative linear trend
Region D: positive linear trend
Graphic attachment
Region A: not observable trend
Region B: exponential trend
Region C: negative linear trend
Region D: positive linear trend
Graphic attachment
Answer:
Option 3 is correct.
The data do not provide sufficient evidence to reject H0; thus, we cannot conclude that the mean point spread of home games is higher than that of away games.
Step-by-step explanation:
Before anything else, we first give the null and alternative hypothesis for this question.
Null hypothesis would be that there isn't significant evidence to conclude that the mean point spread of home games is higher than that of away games.
H0: µ1 = µ2
And the alternative hypothesis would be that there is significant evidence to conclude that the mean point spread of home games is higher than that of away games.
Ha: μ1 > μ2
The data from the output of the analysis of the hypothesis test is missing from the question. It was obtained online and is attached to this solution of the question.
The table consists of the difference, the sample mean, the standard error of the mean, degree of freedom, the test statistic and most importantly, the p-value. It is the p-value that absolutely gives us the concluding statement of the hypothesis testing.
When the significance level for a test isn't provided, the convention is usually to use 5% significance.
Interpretation of p-value
When the (p-value > significance level), we fail to reject the null hypothesis and when the (p-value < significance level), we reject the null hypothesis and accept the alternative hypothesis.
So, for this question, significance level = 0.05
p-value = 0.4351
0.4351 > 0.05
Hence,
p-value > significance level
This means that we fail to reject the null hypothesis & say that 'The data do not provide sufficient evidence to reject H0; thus, we cannot conclude that the mean point spread of home games is higher than that of away games'.
Hope this Helps!!!
