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mash [69]
3 years ago
15

Estimate each sale price for each item.$8.60 and $40.60

Mathematics
1 answer:
sdas [7]3 years ago
4 0

Answer:

is that even the full answer because I don't know if that is

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Help again please!!!!!!!!!!!!!!!!!
saveliy_v [14]
C is the best answer 

8 0
3 years ago
Read 2 more answers
Not sure if my answer is right
Gala2k [10]


yes it would be d go back read the answers and think about each one


5 0
3 years ago
A store wants to have an end of year sale so they discount all prices by 35%. If you buy an item that originally sells for $80.0
scoundrel [369]

Answer:

52

Step-by-step explanation:

52 dollar if it include tax.

6 0
3 years ago
Read 2 more answers
A high school runs a survey asking students if they participate in sports. The results are found below. Run an independence test
Sveta_85 [38]

Answer:

It can be concluded that participation in sports is dependent on grade level.

Step-by-step explanation:

In this case a Chi-square independence test for the data is to be performed at <em>α </em>= 0.01.

The hypothesis can be defined as follows:

H₀: The participation in sports is independent of grade level.

<em>Hₐ</em>: The participation in sports is dependent of grade level.

The data provided is:

            Freshmen      Sophomores       Juniors         Seniors

Yes            75                       88                   55                42

No             30                      28                   38                 40

The formula to compute the expected frequencies is:

E_{i}=\frac{i^{th}\ \text{Row Total}\ \times\ i^{th}\ \text{Column Total}}{N}

The Chi-square statistic is:

\chi^{2}=\sum {\frac{(O_{i}-E_{i})^{2}}{E_{i}}}

Consider the Excel file attached below.

The value of Chi-square statistic is 16.244.

The degrees of freedom of the test are:

\text{df}=(r-1)(c-1)

    =(4-1)(2-1)\\=3\times 1\\=3

Compute the <em>p</em>-value of the test as follows:

p-value=P(\chi^{2}_{df}

                =P(\chi^{2}_{3}

*Use a Chi-square table.

<em>p</em>-value = 0.001 < <em>α</em> = 0.01

The null hypothesis will be rejected at 1% level of significance.

Thus, it can be concluded that participation in sports is dependent on grade level.

4 0
4 years ago
3+(-0.8)+0.25+(-0.75)
Margarita [4]

By simplifying the expression we get

1.7

5 0
3 years ago
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