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RSB [31]
2 years ago
14

Please solve the following question.

Mathematics
1 answer:
Degger [83]2 years ago
5 0

The dot plot that corresponds to the given data is the second dot plot

The frequency and the percent frequency distribution are shown below

<h3>Frequency distribution</h3>

The given data is

5.6   9.9   11.3   7.5    10.0  11.9  13.2  13.8  10.0   11.9

6.5   9.0   11.2   10.9  14.6   7.2  10.0   6.0  15.8   11.3

From the question, we are to construct a dot plot

Among the given options, the dot plot that corresponds to the given data is the second dot plot

b) We are to construct a frequency distribution

The frequency distribution table is shown below

Class            Frequency

6.0 - 7.9         4

8.0 - 9.9         2

10.0 - 11.9       9

12.0 - 13.9       2

14.0 - 15.9       2

Total               19

b) We are to construct a percent frequency distribution

The percent frequency distribution table is shown below

Class            Percent Frequency

6.0 - 7.9          21.1%

8.0 - 9.9         10.5%

10.0 - 11.9        47.4%

12.0 - 13.9       10.5%

14.0 - 15.9      10.5%

Total               100%

The frequency and the percent frequency distribution are shown above

Learn more on Frequency distribution here: brainly.com/question/1094036

#SPJ1

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The contents of a sample of 26 cans of apple juice showed a standard deviation of 0.06 ounces. We are interested in testing to d
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Answer:

Option b. should not be rejected

Step-by-step explanation:

We are given that the contents of a sample of 26 cans of apple juice showed a standard deviation of 0.06 ounces.

We have to test whether the variance of the population is significantly more than 0.003, i.e.;

  Null Hypothesis, H_0 : \sigma = \sqrt{0.003}

Alternate Hypothesis, H_1 : \sigma > \sqrt{0.003}

The test statistics used here for testing variance is;

          T.S. = \frac{(n-1)s^{2} }{\sigma^{2} } ~ \chi^{2}__n_-_1

where, s = sample standard deviation = 0.06

           n = sample size = 26 cans

So, Test statistics = \frac{(26-1)0.06^{2} }{0.003 } ~ \chi^{2}__2_5

                            = 30

So, at 5% level of significance chi square table gives critical value of 37.65 at 25 degree of freedom. Since our test statistics is less than the critical so we have insufficient evidence to reject null hypothesis.

Therefore, we conclude that null hypothesis should not be rejected and variance of population is 0.003.

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