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Choosing an appropriate sample size:
A personality test has a subsection designed to assess the "honesty" of the test-taker. Suppose that you're interested in the mean score, µ, on this subsection among the general population. You decide that you'll use the mean of a random sample of scores on this subsection to estimate µ. What is the minimum sample size needed in order for you to be 95% confident that your estimate is within 5 of µ? Use the value 20 for the population standard deviation of scores on this subsection.
Estimate using three day weighted moving average. Estimate sales for the next day using a three-day weighted moving average where the weights
Are number of toilet breaks and amount of beverage consumed related? Describe how? Provide the value of statistic and probability value.
What is the probability that separates the bottom 25 percent from the rest of the distribution.
Using 5% level of significance, is there any difference in proportion of guests who would select the two resorts? What is your conclusion?
Investigate the cost of a home mortgage and to determine the monthly payment.
Using Analysis of Variance (ANOVA) test at 5% level if there are important differences in mean sales calls made across the three branches.
Identify Independent and Dependent variable being investigated. Formulate the hypothesis statement regarding your research issue.
A arbitrary sample of 8 students is selected. Illucidate the probability that among the students in the sample at least 7 are female.
Below is a normal plot of residuals from a regression. Does the plot indicate any problems with the assumption that the residuals are Normally distributed
How much time should the employer allow employees to finish the job? (Round up to the nearest minute).
Formulate the hypotheses that can be used to determine whether the mean of all account balances is significantly different from $1,150
Company A is hoping to expand its operations and a small group of investors is visiting next week. You are tasked with the duty of explaining how Company A uses this information from a linear programming model to optimize its shipping.
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