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g100num [7]
3 years ago
15

Given the set of runs scored in 13 baseball games: 2 8 2 1 0 0 3 5 1 8 6 5 5 A. What is the median number. B. After recording th

e number of runs scored in two more games, the median increased by two. What could be one possible pair of runs scored in these two games? C. Explain how the median could be 2.5 when it is not possible to score half a run. D. Explain how it is possible to play 2 more games and have no change in the value of the range.
Mathematics
1 answer:
dangina [55]3 years ago
4 0

Answer:

Step-by-step explanation:

Given:

Games:

0

0

1

1

2

2

3

5

5

5

6

8

8

A.

Median is the middle value after the ste of values are arranged in ascending order, M which is the 7th value = 3

B.

Median increased by 2, M + 2

Therefore, new Median = 5

This means that the 2 runs are less than the previous median, 3 or greater than the new median, 5.

Possible pairs:

1, 2 or 6, 8

C.

Median can be 2.5 when the total number of runs scored are even numbers, therefore if the middle numbers are 2 and 3. In this case a number greater than or equal to 2;

The median = (2 + 3)/2

= 2.5

D.

Range is the difference between the highest value of runs scored to the lowest value of runs. In the data given above, range = 8 - 0

= 8.

It is possible to play 2 more games and no change in the range, 8 if the value of the 2 games (or 1 game) is/are greater than 0, the lowest value of runs scored and/or less than 8, which is the greatest value of runs scored.

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Complete Question

The complete question is shown on the first uploaded image

Answer:

a

SST = 1800

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b

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Step-by-step explanation:

The table shown the calculated mean is shown on the second uploaded image

Let first define some term

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SSR(sum of squared residuals) : this can defined as a predicted shift from the actual observed values of the data  

SSE (sum of squared estimate of errors): this can be defined as the  sum of the square difference between the observed value and its mean

From the table

  SST = SS_{yy} = 1800

  SSR = \frac{SS^2_{xy}}{SS_{xx}} = \frac{4755^2}{14950} = 1512.376

  SSE =SST-SSR

          =1800 - 1512.376

           = 287.62

The coefficient of determination is mathematically represented as

               r^2 = \frac{SSR}{SST}

                    = 1-\frac{SSE}{SST}

                   r^2= 1-\frac{287.6237}{1800}

                  r^2 \approx 0.8402

The correlation coefficient is mathematically represented as

           r = \pm\sqrt{r^2}

Substituting values

            r = \sqrt{0.84020}

               r = 0.917

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