Answer: Here we use normal distribution
The proportion of households where women make the majority of the purchasing decisions is
is normally distributed with a mean of
and the standard deviation is
as long as np and n(1-p) are greater than 10
Answer: N(0.6,0.03)
Marketing companies are interested in knowing the population percent of women who make the majority of...
A marketing company surveyed 200 households and found that in 120 of them the woman made the majority of the purchasing decisions. We are interested in the population proportion of households where women make the majority of the purchasing decisions. The random variable X counts the population households where women make the majority of the purchasing decisions. True or False
1. Suppose we are interested in testing whether a population mean is more than 100. The sample we take yields a mean of 140. This is sufficient evidence to conclude that the population mean is more than 100. True False 2. A marketing company surveyed 200 households and found that in 120 of them the woman made the majority of the purchasing decisions. We are interested in the population proportion of households where women make the majority of the purchasing...
lW Wola It affect the minimum number you need to survey? Why? O CO lilOellt ana a new survey were commissioned, Use the following information to answer the next five exercises: Suppose the marketing company did do a survey. They randomly surveyed decisions. We are interested in the population proportion of households where women make the majority of the purchasing decisions. 200 ho ds and found that in 120 of them, the woman made the majority of the purchasing 64....
Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. They randomly survey 410 drivers and find that 304 claim to always buckle up. Construct a 91% confidence interval for the population proportion that claim to always buckle up show how to solve with and without calculator Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. They randomly survey...
Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. They randomly survey 383 drivers and find that 296 claim to always buckle up. Construct a 87% confidence interval for the population proportion that claim to always buckle up
Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. They randomly survey 383 drivers and find that 296 claim to always buckle up. Construct a 87% confidence interval for the population proportion that claim to always buckle up.
HUITWUI Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. They randomly survey 411 drivers and find that 315 claim to always buckle up. Construct a 84% confidence interval for the population proportion that claim to always buckle up. Points possible: 1
Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. They randomly survey 393 drivers and find that 305 claim to always buckle up. Construct a 87% confidence interval for the population proportion that claim to always buckle up. Use interval notation, for example, [1,5]
Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. They randomly survey 393 drivers and find that 305 claim to always buckle up. Construct a 87% confidence interval for the population proportion that claim to always buckle up. Use interval notation, for example, [1,5]
Insurance companies are interested in knowing the population percent of drivers who always buckle up before riding in a car. When designing a study to determine this population proportion, what is the minimum number of drivers you would need to survey to be 95% confident that the population proportion is estimated to within 0.01? (Round your answer up to the nearest whole number.)