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1. What sample size would be needed to estimate he population mean to within one-half standard deviation with 95% confidence?
2. A 95% confidence interval estimate for a population mean was computed to be (44.8 to 50.2). Determine the mean of the sample, which was used to determine the interval estimate.
Test for single mean - What do you conclude - Compute z and P
A student wanted to construct a 95% confidence interval for the average age of students in her statistics class. She randomly selected 9 students. Their average age was 19.1 years with a standard deviation of 1.5 years. What is the best point esti..
a. Solve using the p value approch. b. Solve using the classical approch.
The Director of Emergency Medicine at Big Mountain Medical Services is studying patient waiting time. Waiting time is defined as the time from when a patient enters the facility until seen by a physician.
A random sample of 56 fluorescent light bubs has a mean life of 645 hours with a standard deviation of 31 hours.
A sample of 19 albino Hungarian banded aardvarks was examined for nose length. Since this is a small sample, how various degrees of freedom will be used to find the t-score.
Analyze the process of statistical quality control and determine which part of the process would be most difficult and what steps could be taken to mitigate the anticipated difficulty.
A genetic experiment with peas resulted in one sample of offspring that consisted of 438 green peas and 159 yellow peas.
what is the sample space of all possible outcomes? Are the outcomes equally likely?
A and B are two intersecting sets, and a, b, ab, and x represent the usual symbols for the number of elements contained in the four defined areas of the associated Venn Diagram. Find the values of ab and a if:
The probability that house sales will increase in the next 6 months is estimated to be 0.25. The probability that the interest rates on housing loans will go up in the same period is estimated to be 0.74. The probability that house sales or intere..
He argues that the regression effort says people who perform very poorly in their previous job tend to perform well in their next job. Is this what the regression effect says? Explain.
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