g Determine the critical values for these tests of a population standard deviation. ​(a) A​ right-tailed test with 16 degrees of freedom at the alphaequals0.01 level of significance ​(b) A​ left-tailed test for a sample of size nequals23 at the alphaequals0.1 level of significance ​(c) A​ two-tailed test for a sample of size nequals31 at the alphaequals0.1 level of significance

Answers

Answer 1
Answer:

Answer:

Step-by-step explanation:

We are to find critical values for the test given

a) df =16: Alpha = 0.01  and right tailed

Critical value= 2.583

b) df = 23-1 = 22: alpha = 0.1 and left tailed

critical= -1.717

c)df=31-1 =30:  alpha =0.1:  two tailed

t =1.697

Critical values can be obtained from critical t tables.

Left tailed will have negative sign and right tailed positive

Answer 2
Answer:

Final answer:

The critical values for these tests of a population standard deviation can be found via looking up a chi-square distribution table at the specified degrees of freedom and alpha level. For a two-tail test, the alpha value needs to be divided equally in the two tails.

Explanation:

To determine the critical values for these tests of a population standard deviation, we first need to understand the critical values for a chi-squared test. The chi-square test is used when the degrees of freedom and the level of significance (alpha) are known.

(a) A​ right-tailed test with 16 degrees of freedom at the alpha equals 0.01 level of significance: To find this critical value, we would check a chi-square distribution table at 16 degrees of freedom and alpha equals 0.01. The value we find is the critical value.

(b) A​ left-tailed test for a sample of size n equals 23 at the alpha equals 0.1 level of significance: Similarly, we would check the chi-square distribution table but this time at 22 degrees of freedom and alpha equals 0.1. Please note that degrees of freedom is calculated as n-1 which gives us 22 in this case.

(c) A​ two-tailed test for a sample of size n equals 31 at the alpha equals 0.1 level of significance: For a two-tailed test, we distribute the alpha equally in the two tails of the distribution. That means, we lookup chi-square distribution table for 30 degrees of freedom and alpha equals 0.05 to get our critical value.

Learn more about Population Standard Deviation here:

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Answers

Answer:    

a.)5/7

b.)1.5 or 1 1/2

c.)1/6

Step-by-step explanation:

Step-by-step explanation:

a.5/7

b.12/8= 6/4 = 3=2 =

1 and 1/3

c. 4/6-3/6=

1/6

What expression is equivalent to this equation?

Answers

Answer:

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Step-by-step explanation:

Answer: the right bottom corner

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Step-by-step explanation:

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Which quadrant would 6,-4 be in ?

Answers

Answer:

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Step-by-step explanation:

Why is math so hard to Figer out

Answers

Answer:

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Answer:

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Step-by-step explanation:

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The distribution of the annual incomes of a group of middle management employees approximated a normal distribution with a mean of $37,200 and a standard deviation of $800. About 68% of the incomes lie between what two incomes

Answers

Answer:

68% of the incomes lie between $36,400 and $38,000.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ =  $37,200

Standard Deviation, σ = $800

We are given that the distribution of SAT score is a bell shaped distribution that is a normal distribution.

Empirical rule:

  • Almost all the data lies within three standard deviation of mean for a normally distributed data.
  • About 68% of data lies within one standard deviation of mean.
  • About 95% of data lies within two standard deviation of mean.
  • About 99.7% of data lies within three standard deviation of mean.

Thus, 68% of data lies within one standard deviation.

\mu \pm \sigma\n=37200 \pm 800\n=(36400,38000)

Thus, 68% of the incomes lie between $36,400 and $38,000.