What are the next 3 terms in the sequence 2.0,3.5,5.0,6.5?
2 answers:
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Answer:
<h2><em>x</em><em>=</em><em>3</em></h2><em>Sol</em><em>ution</em><em>,</em>
<em>Theorem</em><em>:</em>
<em>The</em><em> </em><em>angle</em><em> </em><em>bisector</em><em> </em><em>theorem</em><em> </em><em>states </em><em>that</em><em> </em><em>if</em><em> </em><em>a</em><em> </em><em>ray </em><em>bisects</em><em> </em><em>an</em><em> </em><em>angle</em><em> </em><em>of</em><em> </em><em>a</em><em> </em><em>triangle,</em><em>then</em><em> </em><em>it</em><em> </em><em>divides</em><em> </em><em>the</em><em> </em><em>oppos</em><em>ite</em><em> </em><em>side</em><em> </em><em>into</em><em> </em><em>two </em><em>segments</em><em> </em><em>that</em><em> </em><em>are</em><em> </em><em>proportional</em><em> </em><em>to</em><em> </em><em>other</em><em> </em><em>two</em><em> </em><em>sides</em><em>.</em>
<em>By</em><em> </em><em>the</em><em> </em><em>theorem</em><em>,</em>
<em></em>
<em>hope</em><em> </em><em>this</em><em> </em><em>helps</em><em>.</em><em>.</em><em>.</em>
<em>Good</em><em> </em><em>luck</em><em> on</em><em> your</em><em> assignment</em><em>.</em><em>.</em>
Answer:
The probability of obtaining a result equivalent to or greater than what was the truly observed value of the test statistic is 0.001.
Step-by-step explanation:
The researcher can use a one sample <em>z</em> test to determine whether his claim is correct or not.
The hypothesis to test whether the mean BMI is more than 25.0, is defined as:
<em>H₀</em>: The mean BMI is not more than 25.0, i.e. <em>μ </em>≤ 25.0.
<em>Hₐ</em>: The mean BMI is more than 25.0, i.e. <em>μ </em>> 25.0.
The test statistic is defined as:
The <em>p</em>-value of the test is,
<em>p</em> = 0.001.
The p-value is well-defined as per the probability, [under the null-hypothesis (<em>H₀</em>)], of attaining a result equivalent to or greater than what was the truly observed value of the test statistic.
A small p-value (typically ≤ 0.05) specifies sufficient proof against the null hypothesis (<em>H₀</em>), so you discard <em>H₀</em>. A large p-value (> 0.05) specifies fragile proof against the <em>H₀</em>, so you fail to discard <em>H₀.</em>
The <em>p</em>-value of 0.001 indicates that the probability of obtaining a result equivalent to or greater than what was the truly observed value of the test statistic is 0.001.
As the <em>p</em>-value is very small, the null hypothesis will be rejected at any level of significance.
Thus, concluding that the mean BMI of adult Canadians is more than 25.0.