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A marketing poll revealed that 45% of Americans say they that they have dinner regularly as a family. You randomly choose 10 American families and ask if they regularly have dinner together as a family.
1. Does this situation meet the binomial requirements? Why or why not? Address the four characteristics in the Key Points.
2. What is the random variable in this problem? i.e., what does X represent and what values can it have?)
3. What is the probability that exactly 4 have regular family dinner?
4. What is the probability that 5 or fewer have regular family dinner?
5. What is the probability that at least 2 have regular family dinner?
6. What is the probability that at most 5 have regular family dinner?
7. What is the mean number of adults out of a sample of 10 that you would expect to have regular family dinner? What is the standard deviation of the distribution?
If samples of size 224 were repeatedly selected from the population of children born to mothers with HIV antibody, what would be the mean number of infected children per sample?
A processor of carrots cuts green top off each carrot, washes the carrots, and inserts six to a package. Twenty packages are inserted in a box for shipment. To test weight of the boxes, a few were checked.
The probability of drawing a 6 (to complete an inside straight) after discarding the ace.
Support your contention with three examples from your experience at other organizations or departments. Where applicable, for each example, indicate what are the treatments and blocking variables.
Do these scores suggest that the different foods are differentially preferred by people in general? (Use the .05 significance level.)
Provide a discussion that supports the assumption that the variance of savings increases with family income.
What is dispersion? Briefly name five measures of dispersion. Describe the characteristics of the standard deviation. Explain
What is the 99% confidence interval?
Formulate the null and alternative hypotheses for this application.
A soft drink machine outputs a mean of 24 ounces per cup. the machines output is normally distributed with a standard deviation of 2 ounces. what is the probability of filling a cup between 21 and 26 ounces.
What is the null and alternative hypothesis? What is your final conclusion?
Computing the mean value for the given data - What is the new mean for the class and frequency distribution graph, what type of graph should be used
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