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Find a dataset: approximately 30-100 scores or observations. Write a null and alternative hypothesis, conduct a statistical significance test (in SPSS or Excel), and tell what decision you'd make about the null hypothesis, and why. You'll need to include your SPSS or Excel output.
The 99% confidence interval using a t-distribution is ( ), ( ). Round to one decimal place as needed
The original simple form of the Connecticut state lottery (ignoring a few gimmicks) awarded the following prizes for each 100,000 tickets sold. The winners were chosen by drawing tickets at random. If you hold one ticket in this lottery, what is y..
Let Z be the random variable giving the number of times the second biased coin (coin #2) comes up heads. What is the probability mass function of Z? What is the mean and variance of Z?
Assume that the weights of coconuts are normally distributed with a mean weight of 17.6 pounds and a standard deviation of 1.2 pounds.
If the company does not want to replace more than 5% of the televisions?
What is the difference between dependent and independent samples? Discuss differences is statistical treatment, statistical power, and data management.
Explain the general process and the steps included in conducting a hypothesis test? What is the difference between parametric and nonparametric hypothesis testing?
The number of children, x, belonging to each of eight families registering for swimming was 2, 2, 2, 4, 2, 1, 2, 2. Find the mean, x. (Give answer correct to 2 decimal places.)
Find the probability that a standard normal random variable will assume a value between: Find a z such that 70% of the area is above that value.
With this information, by constructing a 2 by 2 table, compute the predicative value positive and predictive value negative of the ELA in hypothetical population of 1000000 blood donors.
Differentiate between the levels of measurement by providing an example of data which can be transformed from one level of measurement to another and another example of data that cannot be transformed.
If the standard deviation is $89.46, find the probability that a randomly selected customer spends between $550.67 and $836.94.
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