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Q1) Owner of Limp Pines Resort desired to know average age of its clients. Random sample of 25 tourists is taken. It illustrates a mean age of 46 yrs. with stand. dev. Of 5 yrs. Width of a 98% Cl for true mean cliet age is approximately..............yrs.
a) +or-2.06 b) +or-2.33 c) +or-2.49 d) +or-2.79
Q2) What sample size would be needed to evaluate true proportion of American female business executives who prefer title "Ms.", with an error of ±0.025 and 98 percent confidence
Q3) Financial institution desires to evaluate mean because balances owed by its credit card customers. Population standard deviation is evaluated to be $300. If 98% confidence interval is used and interval of +or-$75 is desired, how many cardholders must be sampled?
a) 3382
b) 62
c) 629
d) 87
Q4) Jolly Blue Giant Health Insurance is concerned about rising lab test costs and would like to know what proportion of lab test for prostate cancer are actually proven right through subsequent biopsy. JBHI demands sample large sufficient to make sure error of +or-2% with 90% confidence. Determine the essential sample size?
a) 2,401
b) 1,692
c) 1,604
d) 609
Estimate a test statistic for null hypothesis H0: μ = 30 against two-sided alternative hypothesis H1 : μ ≠ 30, and by plotting this on its reference distribution.
Determine the proportion of variation in grade that can be explained by the linear correlation between the grade and the number of credit hours earned at the same time of taking the course.
Find out the value of test statistic utilizing one sample proportion testing. Use the subsequent information for the below questions.
What value is standard deviation for this data? What type of probability is this?
What factors might cause the company to order a larger or smaller amount than the EOQ?
Complete the table and answer the following questions. Use the .05 significance level.
Assume that in a hypothesis test with null hypothesis H 0 : μ = 14.0 at a = 0.05, that a value of 13.0 for the sample mean results in the null hypothesis not being rejected. That corresponds to a confidence interval result of:
Find a 95% confidence interval for the mean dielectric strength of the oil.
Conduct a hypothesis test using the .04 level of significance to determine if there is a difference between the population means.
Assume that you have a binomial experiment with p = 0.5 and a sample size of 100. The expected value of this distribution is.
He randomly samples 45 oil wells throughout the United States and determines the mean output to be 10.7 barrels per day with a standard deviation of 1.3 barrels. Test the researcher's claim at the .025 level of significance.
At the 5% level of significance, can we infer that the population mean weight of athletic men is lower than the population mean weight of non-athletic men by more than 2 pounds?
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