If the standard error for the sampling distribution of a proportion is equal to 0.0327 and if the population proportion, p, is equal to .80, the sample size must be 150.
Indicate whether the statement is true or false
Q. 2A histogram is used to display which of the following characteristics for a quantitative variable?
A) The approximate center of the data
B) The spread in the data
C) The shape of the distribution
D) All of the above.
Q. 3The Russet Potato Company has been working on the development of a new potato seed that is hoped to be an improvement over the existing seed that is being used.
Specifically, the company hopes that the new seed will result in less variability in individual potato length than the existing seed without reducing the mean length. To test whether this is the case, a sample of each seed is used to grow potatoes to maturity. The following information is given:Old Seed New SeedNumber of Seeds = 11 Number of Seeds = 16Average length = 6.25 inches Average length = 5.95 inchesStandard Deviation = 1.0 inches Standard Deviation = 0.80 inchesThe on these data, if the hypothesis test is conducted using a 0.05 level of significance, the calculated test statistic is:A) = 1.25
B) = 0.80
C) = 0.64
D) = 1.56
Q. 4The sampling distribution for a proportion has a formula for that standard error that involves using p. Yet when a confidence interval is calculated for a proportion, the standard error formula uses the sample proportion. Why do they differ?
What will be an ideal response?
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