Power function (statistics)

In summary, the power function for this test is given by p^8(45-80p+36p^2). This means that the probability of rejecting the null hypothesis increases as the probability of heads increases, and is highest when p=1 (meaning the coin is completely biased towards heads).
  • #1
sara_87
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A coin is suspected of bias towards heads, so a test is made of the hypothesis H0: p=2 against H1:p>2, where p is the probability of heads. The test is to count the number of heads, X, in 10 tosses of the coin, and reject H0 if X=8, 9, or 10.
Show that the power function for this test is given by: p^8(45-80p+36p^2)

I have no idea how to start. I know that the power function means: P(reject H0 given H0 is false) but i don't know how to continue.

Any help would be very much appreciated.
Thank you
 
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  • #2
.The power function for this test is given by the probability of getting 8, 9, or 10 heads in 10 tosses of the coin, given that the true probability of heads is greater than 2. That probability can be calculated using the binomial distribution as:P(X=8,9,10) = P(X=8) + P(X=9) + P(X=10) = C(10,8) * p^8 * (1-p)^2 + C(10,9) * p^9 * (1-p)^1 + C(10,10) * p^10 * (1-p)^0 = 10 * p^8 * (1-p)^2 + 10 * p^9 * (1-p) + p^10 = 10p^8 - 80p^9 + 36p^10 + p^10 = p^8(45 - 80p + 36p^2).
 

1. What is a power function in statistics?

A power function in statistics is a mathematical relationship between two variables, where one variable is a power of the other. It is represented by the equation y = ax^b, where a and b are constants and x is the independent variable. It is commonly used to model relationships between variables in regression analysis.

2. How is a power function different from a linear function?

A linear function is a mathematical relationship between two variables that can be represented by a straight line. In contrast, a power function has a curved shape when plotted on a graph. Additionally, a linear function has a constant rate of change, while a power function has a changing rate of change.

3. What is the significance of the exponent in a power function?

The exponent in a power function determines the curvature of the function. A larger exponent results in a steeper curve, while a smaller exponent results in a flatter curve. It also affects the rate of change of the function, with a higher exponent leading to a faster rate of change.

4. How is a power function used in statistics?

A power function is commonly used in regression analysis to model the relationship between variables. It can also be used to transform data to make it more linear, which can be helpful for certain statistical analyses. Additionally, power functions are used in various statistical tests and methods, such as ANOVA and hypothesis testing.

5. What are some real-life examples of power functions?

Power functions can be seen in various natural phenomena, such as population growth and radioactive decay. In economics, the relationship between price and demand often follows a power function. In physics, the relationship between force and distance in a spring is a power function. Additionally, power functions can be used to model relationships in fields such as biology, engineering, and finance.

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