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A population of 1000 students spends an average of $10.50 a day on dinner. The standard deviation of the expenditure is $3. A simple random sample of 64 students is taken.
a) what are the expected value, standard deviation and shape of the sample mean?
b) What is the probability that these 64 students will spend a combined total of more than $712.21?
c) What is the probability that these 64 students will spend a combined total between 703.59 and $728.45?
Describe the data appear the strength of the relationship among variables is sufficient to warrant using linear regression forecasting.
Employer wishes to interview only those applicants who score in top 15%. What must cut-off score be for interviews?
Use the binomial distribution formula to calculate the probability that a) out of 5 adults, none is concerned that employers are monitoring phone calls.
Perform the trend analysis of Pf with incrementally increasing number of the simulation cycles, and calculate the statistical uncertainty in the estimate expressed as the coefficient of variation.
Bougainvilleas, mean growth rate was 2.23 inches/week and sample standard deviation was 0.77 inches/week. Determine a 90% confidence interval for mean growth rate of all Bougainvilleas.
Determine the optimum solution for the problem.
What is your conclusion regarding null hypothesis?
A random variable has a standard deviation of 16, and an unknown mean. Find the lowest size of a simple random sample so that the sample mean estimates the population mean with a standard error no larger than 0.25.
Computing a linear regression equation to predict the future values of the dependent variable Y - Linear relationships into a single multiple regression.
Dating In Chances- Risks and Odds in Everyday Life, James Burke claims that about 70 percent of all single men would welcome a woman taking the initiative in asking for a date. A random sample of 20 single men was asked if they would welcome the woma..
Calculate the Pearson correlation for these data also determine whether there is a significant correlation among attitudes for husbands also wives.
Compute the probability that debt for a randomly selected borrower with good credit is more than $18,000?
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