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When using SPSS to perform a 2 independent sample t-test, the P-Value was .136...with alpha set to .05. I have to decide to accept or reject the null hypothesis. When viewing things online all I could find was that if the p-value was greater than .05 then the null hypothesis was accepted? Is that a correct assumption or does it vary by example?
Many people attend work and produce little or nothing of value that is why they are terminated.
If campaign can be expected to also to rise the probability of best case scenario to 0.4, is it a good investment.
Use a calculator with mean and standard deviation keys to verify that the sample mean is x = 5.63 pups with the sample standard deviation s = 1.78 pups. (b) Find a 75% confidence interval for the population.
Suppose sps professors have an average life normally distributed of 82 years, with a population standard deviation of 5 years.
Determine the area under the standard normal curve that lies: (a) to the left of Z = -2.31 (b) to the right of Z = -1.47 (c) between Z = -2.31 and Z = -1.47 (d) between Z = 1.47 and Z = 2.31
In 1990, the population of Austin, Texas, was 494,290. During the next 10 years, the population increased by about 3% each year.
Is there evidence that the population mean amount is different from 8.17 ounces? (Use a 0.05 level of significance and determine the p-value and interpret its meaning.
What information is provided by the numerical value of the Pearson correlation? For the following scores, compute the Pearson correlation:
Use the five steps of hypothesis testing to determine whether the observed differences in the number of activities in the following table performed by the three groups are statistically significant at the .05 level of significance. Clearly indicat..
One question that I have is: Will these sample statistics accurately estimate the purchasing habits of all our customers? Can you share some of your thoughts on that question? Why or why not?
A drug manufacturer wants to estimate the effect of its new drug designed to increase patients white blood cell count.
Suppose that n trials of a binomial experiment result in no successes.
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