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Sociology: Ethics. The one-time fling! Have you ever purchased an article of clothing (dress, sports, jackets, etc.) worn the item once to a party, then returned the purchase? This is called the one time fling. About 10% of all adults deliberately do a one-time fling and feel no guilt about it. In a group of 7 adult friends, what is the probability that:
a) No one has done a one-time flingb) At least one person has done the one time fling?c) No more than two people have done a one-time fling?
Find out which (t-, z- or neither) distribution is suitable Then if you can utilize either a t- or z- distribution, provide associated critical value (critical t- or z- score) from that distribution to reach given confidence level.
Assume independent events. Why might the assumption of independence be violated? (b) Why might a driver be tempted not to use a seat belt "just on this trip"?
Suppose that that download time is normally distributed with a standard deviation of 0.2 seconds. What is the probability that a download time is less than 1 second?
What is the number of neurons n such that the probability of more than n neurons have higher firing rates for Condition 1is 0.99?
Develop a 99% confidence interval for the population proportion.
Using a 5% level of significance, can we say that, generally there is important difference between satisfaction levels of mid country residents and coastal residents?
Discuss how scale impacts the interpretation of a graph and name the lowest number of a statistically significant sample size and state the statistically appropriate percentage total of displays
Please state the null and alternative hypothesis in symbols and in words. Compare the P-value to the Level of Significance. Do you accept or reject Ho.
What statistical method is used to accept or reject the null hypothesis in determining if outsourcing is always beneficial? Please explain your reasons for choosing the selected method in detail and cite references (if any).
To speed up the process in a blood testing procedure, blood samples from 3 people are combined into one mixture. The mixture will only test negative if all the individual samples are negative.
Positive values correspond to students who gained weight and negative numbers correspond to students who lost weight. Is a weight fain of 15 pounds of (6.8) kilograms unusual?
The standard deviation of the monthly growth rates will remain 60%. Is the increased investment growth worth the consulting fee?
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