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3 years ago

TWO QUESTIONS BELOW:

Mathematics

1 answer:

alekssr [168]3 years ago

4 0

Answer:

Measure angle 2 is 70 degrees (question 1)

Measure angle 1 is 115 degrees (question 2)

Step-by-step explanation:

assume the other 2 angles sum up to 180 degrees

Subtract measure angle 3 by 180 degrees to find measure angle 2

Hope this helped :) comment if you need more help or clarification

You might be interested in

– THE ODDS IN FAVOR OF BORIS PENZED WINNING THE HOT

Bezzdna [24]

The probability that Boris will win the contest is:

P = 0.286

<h3>How to get the probability?</h3>

For some given odds a:b, the probability is just computed as the quotient between a and b, which gives:

P = a/b

In this case, the odds are 2:7, so the probability that Boris will win the contest is:

P = 2/7 = 0.286

Written in percentage form, we get:

P = 28.6%

If you want to learn more about probability:

brainly.com/question/24756209

#SPJ1

6 0

1 year ago

The quality control manager of a chemical company randomly sampled twenty 100-pound bags of fertilizer to estimate the variance

lisabon 2012 [21]

Answer:

The 95% confidence interval for the variance in the pounds of impurities would be $3.829 \leq \sigma^2 \leq 14.121$ .

Step-by-step explanation:

1) Data given and notation

$s^2 =6.62$ represent the sample variance

s=2.573 represent the sample standard deviation

$\bar x$ represent the sample mean

n=20 the sample size

Confidence=95% or 0.95

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population mean or variance lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

The Chi square distribution is the distribution of the sum of squared standard normal deviates .

2) Calculating the confidence interval

The confidence interval for the population variance is given by the following formula:

$\frac{(n-1)s^2}{\chi^2_{\alpha/2}} \leq \sigma^2 \frac{(n-1)s^2}{\chi^2_{1-\alpha/2}}$

On this case the sample variance is given and for the sample deviation is just the square root of the sample variance.

The next step would be calculate the critical values. First we need to calculate the degrees of freedom given by:

$df=n-1=20-1=19$

Since the Confidence is 0.95 or 95%, the value of $\alpha=0.05$ and $\alpha/2 =0.025$ , and we can use excel, a calculator or a table to find the critical values.