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1) The mean of the twenty male IQ scores is 115. Test the hypothesis that the mean of female IQ scores is less than 115. Note: This test is not comparing the mean IQ of females to that of males, it is simply using 115 as a comparison value. In the next chapter you will learn how to compare the means of two population. Use a 0.05 level of significance.
2) Test the hypothesis that the standard deviation of the price of 500 KWH of electricity is $1.25. Use the 2000 data.
3) In each year of data, which month exhibits the highest price per 500 KWH? Can you think of reasons why?
In a group of six professors selected at random, what is the expected number of extroverts? What is the standard deviation of the distribution?
A group of students collected data at the Cedar Point amusement park and reported that the "wait time" to ride the "Top Thrill Dragster" roller coaster is consistently distributed within a range of 40 minutes to 90 minutes.
Determine the expected shape of distribution of sample mean? Compute the likelihood of choosing a sample with mean of at least $112,000?
Thermometers are normally distributed with a mean of O Celsius and a standard deviation of 1. OO Celsius, Find the probability that a randomly selected thermometer reads between - 2.23 and - 1.25 and draw a sketch of the region. The probability is..
Has the average community level of suspended particles for the month of August exceeded 30u/m3?
Consider the following stemplot. The mean of the data represented in this stemplot ?
What is the probability of a false negative test (the probability that a person having muscular distrophy tests negative)?
Probability using normal distribution.Sampling distributions. Given a normal distribution with μ = 50 and standard deviation σ = 9, if a sample of n = 100 is selected.
Use confidence interval to determine the estimated margin of error, Then determine the sample mean.
Given that Z is a standard normal random variable. What is the value of Z if the area to the left of Z is 0.9382?
Interpret this data using regression and interpret all the findings, R 2 , F, IV coefficient, and the intercept.
Find out a plausible value r for correlation between vehicle weight and miles per gallon (mpg) shown in the scattergram below?
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