Null Hypothesis, significance level, help

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This means that the results are not just due to chance and there is evidence to support that the coin is biased.
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Homework Statement


You wish to test whether or not a coin is fair, so you toss it 400 times and obtain 225 heads. Test the null hypothesis that the coin is fair and balanced against the alternative that it is not. Use the 5% significance level.
a.) Identify(using symbols) the null and alternative hypotheses.
b.) Is this a right tailed, left tailed or two-tailed test?
c.) Identify the appropriate distribution; give its mean and standard deviation.
d.) State the formula for the test statistic; substitute the specific values, then calculate the resultant.
e.) Determine the P-value.
f.) What is your decision?
g.) State your conclusion.


Homework Equations


(work shown below)


The Attempt at a Solution



a.) Identify the null and alternative hypotheses.
Ho: The coin is fair.
H1: The coin is not fair.

b.) Is this a right tailed, left tailed or two-tailed test?
Two tailed test because it may be higher or lower.

c.) Identify the appropriate distribution; give its mean and standard deviation.
Normal distribution
p=.5
σ= (.5(1-.5))^1/2 / (400)^1/2 = 0.025

d.) State the formula for the test statistic; substitute the specific values, then calculate the resultant.
Formula for test statistic: - p / σ
= 225/400 = 0.5625
0.5625 - .5 / 0.025 = 2.5

e.)Determine the P-value.
P= (1-.9938)2 = 0.0124

f.) What is your decision?
P Value(0.0124) is less than the significance level (0.05) so we reject the null hypothesis.

g.)State your conclusion.
The coin is not fair.
 
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The probability of obtaining 225 heads out of 400 tosses is significantly lower than the significance level of 5%. Therefore, we reject the null hypothesis that the coin is fair and conclude that the coin is not balanced.
 

Related to Null Hypothesis, significance level, help

What is a null hypothesis?

A null hypothesis is a statement that assumes there is no significant relationship between two variables. It is typically denoted by H0 and is used in hypothesis testing to determine if there is enough evidence to reject it in favor of an alternative hypothesis.

What is a significance level?

A significance level, also known as alpha, is the threshold at which we reject the null hypothesis. It is usually set at 0.05 or 5%, meaning that we are willing to accept a 5% chance of making a Type I error (incorrectly rejecting the null hypothesis) in order to reject the null hypothesis.

Why is a null hypothesis important?

A null hypothesis is important because it serves as the baseline for comparison in hypothesis testing. By assuming there is no significant relationship between variables, it allows us to determine if the results of our study are statistically significant. Without a null hypothesis, it would be difficult to determine if our findings are due to chance or a real effect.

How do I determine the significance level for my study?

The significance level for a study is typically chosen based on the field of study, previous research, and the desired level of confidence in the results. It is important to consider the potential impact of a Type I error and choose a significance level that is appropriate for the research question being studied.

Where can I get help with understanding null hypotheses and significance levels?

If you are struggling to understand null hypotheses and significance levels, there are many resources available to help. You can consult with a statistician, attend workshops or seminars, or seek assistance from your colleagues or professors. Additionally, there are numerous online tutorials and resources available to help you better understand these concepts.

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