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Question: Suppose an internet marketing company wants to determine the current percentage of customers who click on ads on their smartphones. How many customers should the company survey in order to be 90% confident that the estimated proportion is within five percentage points of the true population proportion of customers who click on ads on their smartphones?
Construct a 95% confidence interval to estimate the population mean with a sample mean = 110 and ? = 30 for the following sample sizes:
What is the standard deviation of the sampling distribution of the proportion of sixes?
Find a dataset: approximately 30-100 scores or observations. Write a null and alternative hypothesis, conduct a statistical significance test (in SPSS or Excel), and tell what decision you'd make about the null hypothesis, and why.
specimens of blood from 10 different animals were analyzed for blood count say y in units of 100 and packed cell volume
Write the null and alternative hypotheses you would use to test each of the following situations:- A governor is concerned about his negatives the percentage of state residents who express disapproval of his job performance.
Discuss how you would investigate the operations of the plant to determine why the proportions were off the targeted values. Speculate on three or more possible conditions in plant and bagging process that could have caused the observed results.
Miles traveled per day, and a sample standard deviation of 17.with 98% confidence. what is the interval in which the population mean miles travel.
Based on the table on the front of the test, perform the following tasks:Graph and plot the 16 points (Use the blank graph on the next page of this test).
The mean interview time for a standard questionnaire of 31.3 minutes was considered to be excessive so the schedule was revised, yielding a mean interview time for a sample of 40 subjects of 21.3 minutes
You are playing poker and you are dealt the A, K, Q, J, 10 of spades.
Why would the estimation of the demand and supply function by OLS give biased and inconsistent parameter estimates?
Would this be a T-value distribution? Can you take me through the steps to determine upper and lower limits of a 95% confidence interval?
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