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A soft drink manufacturer claims that cans of soda contain , on average, 12 ounces. The machine that fills the cans actually delivers a variable amount of soda. The amount varies randomly according to a normal distribution with standard deviation 0.16 ounce. If you purchase a six-pack of sodas, and measure the amount in each can and find the average, the probability that the average of the six cans will be between 11.9 and 12.1 oz equals which standard normal probability?
You want to know whether the population means are different in the two populations. Conduct an hypothesis test using an alpha of .05 and the critical value method.
Find the percentage of such males that weigh between 190 and 210 lb. (Note: Make sure you choose the flag value closest to 190 and 210.) Give the proportion as a decimal rounded to thousandths.
A survey found that 85% of women in a given city enjoy shopping online. Suppose you randomly selected 6 women from the city and ask them whether or not they enjoy shopping online. Find the probability that exactly 4 say they enjoy shopping online.
The length of a human pregnancy has a mean of 267 days and a standard deviatin of 16 days. Assume a normal distribution. What percent of pregnancies last over 283 days.
Assume that the population of heights of male college students is approximately normally distributed with mean m of 68 inches and standard deviation s of 3.75 inches. A random sample of 16 heights is obtained.
What is the importance of the null hypothesis? Why has it been the backbone of mainstream hypothesis testing for decades? What are its limitations?
The dean of students believes that teh costs are greater this semester. What is the test value for this hypothesis?
Discuss how the null and alternative hypothesis for one-sample testing differs from two-sample testing; and explain how these two hypothesis' are the same, and provide a numerical example?
Can one conclude at a level of significance of .01 that the new ball has improved his game?
Test the null hypothesis that these Arizona students scored the same as the North Dakota students. (238 North Dakota students had a mean of 525)What t-statistic do you obtain?
If the doctor wants to use height to predict head circumference run a linear regression on the data. Find the r-value and comment about it.
After testing whether social class and welfare spending were related, you derive a chi-square (obtained) of 17.64, with 6 degrees of freedom. If alpha is set at 0.01, what is your conclusion and interpretation?
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