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Gekata [30.6K]
3 years ago
10

Anyone who plays or watches sports has heard of the "home field advantage." Teams tend to win more often when they play at home.

Or do they? If there were no home field advantage, the home teams would win about half of all games played. During the 2010 season, the home team won 142 of the 250 regular-season football league games. At a 3% level of significance, is there strong evidence of a home field advantage in professional football?
Required:
a. State the null and alternative hypotheses in both words and math notation. Will you perform a left-tailed, right-tailed, or two-tailed test?
b. Calculate the sample proportion. Is the sample proportion consistent with your alternative hypothesis?
c. Sketch the sampling distribution and label the mean, standard error, and the observed sample statistic. Calculate the test statistic. Is the test statistic unusual? Use the test statistic to find the P-value
Mathematics
1 answer:
AveGali [126]3 years ago
8 0

Answer:

H0 : μ = 0.5

H0 : μ > 0.5

Kindly check explanation

Step-by-step explanation:

H0 : μ = 0.5

H0 : μ > 0.5

We perform a right tailed test :

Sample proportion :

Number of games won, x = 142

Number of games, n = 250

phat = x / n = 142 / 250 = 0.568 = 56.8%

Yes, it is consistent

Test statistic :

(phat - p) * √Phat(1-Phat)/n

1 -Phat = 1 -0.568 = 0.432

(0.568 - 0.5) /√(0.568*0.432)/250

0.068 / 0.0313289

= 2.17

The Pvalue using the z test statistic :

Pvalue = 0.015

α = 0.03

Since ;

Pvalue < α ; We reject the null and conclude that teams tend to win more often when they play at home.

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Here is information about the sandwiches sold by a cafe.
Alina [70]

Answer:

The frequency table is shown below

Step-by-step explanation:

(i) Half of the tuna sandwich were on white bread = 21

On brown bread, tuna = 42 - 21 = 21

(ii) 25% of the ham sandwiches sold were on brown bread.

= 25% (32) = 8

On white bread, 32 - 8 = 24

Frequency table:

                     Tuna             Cheese          Ham         Total

Brown             21                     11                    8                40

White              21                     15                  24               60

Total                42                     26                 32              100

3 0
3 years ago
Which is equivalent to sin^-1(.75)
Neko [114]
<h2>Answer: 0.85 radians</h2>

Step-by-step explanation:

We have the following trigonometric expression:

sin^{-1}(0.75)=arcsin(0.75)

The result of this calculation is:

sin^{-1}(0.75)=48.59\° where the angle is in degrees

If 360\°=2\pi rad then:

48.59\°(\frac{2\pi rad}{360\°}=0.848 rad \approx 0.85 rad  

Therefore the answer is 0.85 radians

3 0
3 years ago
Wich of the following represents a true statement I Need Help asap well Mary you brain list
Fynjy0 [20]

Answer:

  • B is true

Step-by-step explanation:

A. 4^5*4^5 = 4^(5+5) = 4^10 ≠ 4^15

  • FALSE

B.  (5^4)^5 = 5^(4*5) = 5^20

  • TRUE

C. 3^1*3^0 = 3^(1+0) = 3^1 ≠ 3^0

  • FALSE

D. 6^20/6^10 = 6^(20 - 10) = 6^10 ≠ 6^2

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3 0
3 years ago
The question is in the picture
disa [49]
B because the other options are used by Scientific notation
5 0
3 years ago
Select the correct answer from each drop-down menu.
Ket [755]

Answer:

Correlation coefficient ≈ 0.9445

This indicates that the weight of a student increases as the height of the student increases.

Step-by-step explanation:

The rest of the question is the following table

value of x (<u>height</u>) are        58, 59,   60,  62,  63,  64,   66,  68,  70

Value of y (<u>weight</u>) are:      122, 128, 126, 133, 145, 136, 144, 150, 151

=======================================================

To calculate the correlation coefficient we will use the following form:

r = \frac{n(\sum xy)- (\sum x)(\sum y)}{\sqrt{n\sum x^2 - (\sum x)^2} \sqrt{n\sum y^2-(\sum y)^2} }

So, n (the number of terms) = 9

∑x = 570, ∑y= 1236, ∑ x²= 36234, ∑ y²= 170694 and ∑xy=78617

So, the correlation coefficient =

r = \frac{9\times 78617- 570\times 1236}{\sqrt{9\times 36234-(570)^2}\sqrt{9\times 170694-(1236)^2}}\\

∴ r =  0.9445

So, weight of a student increases as the height of the student increases.

5 0
3 years ago
Read 2 more answers
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