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This is my own made up problem. I just want to learn which test would I use t,z, or Chi and HOW do I go about doing it.
Population 1: Kindergartners (N=10) who went to preschool (Research)
Population 2: Kindergartners(N=20) in general. (Null)
Research Hypothesis: Those who went to preschool will adapt faster.
Null Hypothesis: Those who went to preschool will not adapt faster.
If the manager decides to spend $3000 on advertising, based on the simple linear regression results given above, what would the estimated sales be?
Families in the USA have a monthly magazine that discusses issues related to health and health costs. After surveying 23 of their subscribers
Assume 1.5% of antennas on new Nokia cell phones are imperfect. For random sample of 200 antennas, determine the probability that: None of the antennas is defective.
Looking at the data, the manufacturer is incorrect in its label claim. Perform hypothesis testing to prove or disprove it. Is the manufacturer correct in its label claim? Explain.
Calculate η 2 , the percentage of variance accounted for by treatment.
The researchers made 10 measurements of ATP, which had x = 0.84. What was the sample standard deviations for these measurements?
Suppose that a company claims that their mean weekly sales are $12,250. A random sample 35 weeks yields a sample mean of with a sample standard deviation of s=$1250.
The manufacturer of a new line of ink jet printers would like to include as part of their advertising the number of pages a user can expect from a print cartridge.
Develop a decision tree for the case of a company operating at full capacity and with product demand rising. The choice is between new equipment and overtime.
A normal distribution has a mean of µ = 100 with σ = 20. If one score is randomly selected from this distribution, what is the probability that the score will have a value between X = 90 and X = 120?
A major study examined the relationship between cause of death (heart attack, cancer, stroke, accident, etc.) and age. A good way to graphically represent the relationship is with
he life expectancy of a brand of hair dryer is normally distributed wiht a mean of four years and a standard deviation of 8 months.
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