Answer:
$400
Step-by-step explanation:
Step-by-step explanation:
<em>1</em><em>1</em><em>)</em><em> </em><em>PnQ</em><em>=</em><em>QnP</em>
<em>or</em><em>,</em><em> </em><em>{</em><em>1</em><em>,</em><em>2</em><em>,</em><em>3</em><em>}</em><em>n</em><em>{</em><em>1</em><em>,</em><em>2</em><em>,</em><em>3</em><em>,</em><em>4</em><em>,</em><em>5</em><em>}</em><em> </em><em>=</em><em> </em><em>{</em><em>1</em><em>,</em><em>2</em><em>,</em><em>3</em><em>,</em><em>4</em><em>,</em><em>5</em><em>}</em><em> </em><em>n</em><em>{</em><em>1</em><em>,</em><em>2</em><em>,</em><em>3</em><em>}</em>
<em>or</em><em>,</em><em> </em><em>{</em><em>1</em><em>,</em><em>2</em><em>,</em><em>3</em><em>}</em><em> </em><em>=</em><em> </em><em>{</em><em>1</em><em>,</em><em>2</em><em>,</em><em>3</em><em>}</em><em> </em><em>.</em><em>Ans</em>
Answer:

Step-by-step explanation:
Using the rule of exponents
=
, then
= 
Answer:
<em>F test</em>
Step-by-step explanation:
<em>For any test using the F-distribution, a "F Test" is a capture-all word. In certain circumstances, as individuals speak about the F-Test, it is the F-Test to compare two variances that they actually talk about. </em>
Moreover, in a multitude of tests, the f-statistics is used such as regression analysis, the Chow test and the Scheffe test (a post-hoc ANOVA test).
One should be using Excel, SPSS, Minitab or some other form of software to run the experiment if you are running a F test.
<em><u>Steps include.</u></em>
- State the hypothesis of nullity and the counter hypothesis.
- Determine the value of F. The F value is determined using equation F = (SSE1 – SSE2/m)/SSE2/n-k, where SSE = square residual, m = number of constraints, and k = number of independent variables.
- Find the statistics for F (the critical value for the test). The F statistical formula is: F Statistics = group mean / mean variance of variances within the group.
- The F Statistics can be found in the F-Table.
- The Null Hypothesis is accepted or denied.