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Svetach [21]
3 years ago
10

A preliminary study of hourly wages paid to unskilled employees in three metropolitan areas was conducted. Seven employees were

included from Area A, nine from Area B, and twelve from Area C. The test statistic was computed to be 4.91.
What can we conclude at the 0.05 level?

a. Mean hourly wages in at least 2 metropolitan areas are different
b. More degrees of freedom are needed
c. Mean hourly wages of unskilled employees of all areas are equal
d. None of these is correct
Mathematics
1 answer:
Colt1911 [192]3 years ago
6 0

Answer:

Mean hourly wages in at least 2 metropolitan areas are different

Step-by-step explanation:

0.05 level indicates a 5% risk of concluding that a difference exists even  though there is no actual difference.

A test statistic is a refers to a quantity derived from the sample and it is used in statistical hypothesis testing.

A statistical hypothesis refers to a hypothesis that can be tested on the basis of observing a process that has been modelled as compared to a set of random variables.

It is a method of statistical inference.

In the given question,the test statistic was computed to be 4.91 at the o.05 level as seven employees were included from Area A, nine from Area B, and twelve from Area C when a preliminary study of hourly wages paid to unskilled employees in three metropolitan areas was conducted.

This implies mean hourly wages in at least 2 metropolitan areas are different.

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<h3><u>Explanation</u></h3>
  • Convert the equation into slope-intercept form.

y = mx + b

where m = slope and b = y-intercept.

What we have to do is to make the y-term as the subject of equation.

9x - 3y = 15 \\ 9x - 15 = 3y \\  \frac{9x - 15}{3}  = y

  • Simplify

\frac{9x}{3}  -  \frac{15}{3}  = y \\ 3x - 5 = y  \\ y = 3x - 5

From y = mx+b, the slope is 3.

<h3><u>Answer</u></h3>

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3 years ago
Jorge received a 3.1% increase in his pay at work. If he now makes $18.00 per hour, how much was he making before his raise? (Ro
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If the level of significance of a hypothesis test is raised from 0.005 to 0.2, the probability of a type ii error will:_________
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The probability of type II error will decrease if the level of significance of a hypothesis test is raised from 0.005 to 0.2.

<h3 /><h3>What is a type II error?</h3>

A type II error occurs when a false null hypothesis is not rejected or a true alternative hypothesis is mistakenly rejected.

It is denoted by 'β'. The power of the hypothesis is given by '1 - β'.

<h3>How the type II error is related to the significance level?</h3>

The relation between type II error and the significance level(α):

  • The higher values of significance level make it easier to reject the null hypothesis. So, the probability of type II error decreases.
  • The lower values of significance level make it fail to reject a false null hypothesis. So, the probability of type II error increases.
  • Thus, if the significance level increases, the type II error decreases and vice-versa.

From this, it is known that when the significance level of the given hypothesis test is raised from 0.005 to 0.2, the probability of type II error will decrease.

Learn more about type II error of a hypothesis test here:

brainly.com/question/15221256

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