Standard deviation and hypothesis testing

In summary, Jenny is a new user on a website and is seeking help with two questions related to her upcoming exams. The first question involves measuring reaction time and determining if there is a learning effect present, while the second question involves testing a null hypothesis about the proportion of females in a sample. Jenny is open to receiving assistance and asks for specific details or working out from others who may have solved these questions.
  • #1
Cutie_Jenny
1
0
Hi guys.

Im new at this site so please be nice to me =P. I've been working on some practice papers for my upcoming end of semester exams. Cant get these two questions out ><. Any help is greatly appreciated

Thanks in advance
jenny xoxo

1. A sample of 28 students measured their reaction time by recording the distance a dropped ruler fell before they caught it. This was then repeated to see whether a learning effect was present. The mean decrease in drop distance between the two trials was 1.69 cm with standard deviation 1.916 cm. The margin of error for a 95% confidence interval for the mean decrease in drop distance for all students is ____


2. Suppose we are taking samples from a population that has the same numbers of males and females but are concerned the sampling method may be biased. We take a sample of 20 people and test the null hypothesis H0: p = 0.5, where p is the mean proportion of females in a sample produced by the method.
The power of this test to detect a bias at the 5% level if the sampling method actually produces at least 70% females is ____
 
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  • #2
Have you tried solving them? Post some of your working out or specifics in which you struggle on.
 

1. What is standard deviation?

Standard deviation is a statistical measure that quantifies the amount of variation or dispersion of a set of data values from the mean. It tells us how much the data deviates from the average.

2. How is standard deviation calculated?

To calculate standard deviation, we first find the mean (average) of the data set. Then, for each data point, we subtract the mean from the data point and square the result. Next, we find the sum of all these squared differences. Finally, we divide this sum by the total number of data points and take the square root of the result.

3. What is the purpose of hypothesis testing?

Hypothesis testing is used to determine whether a hypothesis about a population is supported by the evidence from a sample. It helps us make informed decisions about a population based on a smaller sample of data.

4. How is hypothesis testing conducted?

Hypothesis testing involves setting up a null hypothesis (H0) and an alternative hypothesis (H1). The null hypothesis is the default assumption that there is no significant difference between two groups or variables. The alternative hypothesis is the opposite of the null hypothesis. Then, we collect data and use statistical tests to determine whether there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis.

5. What is the relationship between standard deviation and hypothesis testing?

Standard deviation plays a crucial role in hypothesis testing. It helps us determine how much variability exists in the data and whether the observed differences between groups or variables are statistically significant. A higher standard deviation indicates a greater spread of data points, which can affect the results of hypothesis testing. Additionally, standard deviation is used in calculating the standard error, which is essential for determining the p-value in hypothesis testing.

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