If a regular polygon has 40 sides the measure of each interior angle will be
2 answers:
The formula for interior angles is:
Using this, plug in 40 as <em>n </em>and find <em>s</em>.
If you do that, you will get <em>s=6840.
</em>Now that you have the <u>sum</u> of interior angles, you have to find one single measure of an angle in your regular polygon.
<em>If 40 equal sides in a regular polygon results to 6,840°, then one vertex should be the sum of the interior angles divided by the total number of sides.
</em>
In other words, you will have to find 6840°/40. You will get 171°. That means that the measure of a single interior angle is 171*.
Using this, plug in 40 as <em>n </em>and find <em>s</em>.
If you do that, you will get <em>s=6840.
</em>Now that you have the <u>sum</u> of interior angles, you have to find one single measure of an angle in your regular polygon.
<em>If 40 equal sides in a regular polygon results to 6,840°, then one vertex should be the sum of the interior angles divided by the total number of sides.
</em>
In other words, you will have to find 6840°/40. You will get 171°. That means that the measure of a single interior angle is 171*.
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Answer:
The 90% confidence interval for the mean score of all takers of this test is between 59.92 and 64.08. The lower end is 59.92, and the upper end is 64.08.
Step-by-step explanation:
We have that to find our level, that is the subtraction of 1 by the confidence interval divided by 2. So:
Now, we have to find z in the Ztable as such z has a pvalue of .
So it is z with a pvalue of , so
Now, find the margin of error M as such
In which is the standard deviation of the population and n is the size of the sample.
The lower end of the interval is the sample mean subtracted by M. So it is 62 - 2.08 = 59.92
The upper end of the interval is the sample mean added to M. So it is 62 + 2.08 = 64.08.
The 90% confidence interval for the mean score of all takers of this test is between 59.92 and 64.08. The lower end is 59.92, and the upper end is 64.08.
Answer:
A 99.96%
Step-by-step explanation:
The z score shows by how many standard deviations the raw score is above or below the mean. The z score is positive if the raw score is above the mean while the z score is negative if the raw score is below the mean. The z score is given by:
The probability can be gotten from the normal distribution table. Therefore from the normal table:
P(z < 3.37) = 0.9996 = 99.96%