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The average salary of senior managers in the construction industry is $180,000 per year. Suppose we would like to take a sample of senior managers at a newly established company XYZ to see whether the mean annual salary is different from that of the industry.
a) State the null and alternative hypotheses. b) suppose a sample of 40 senior managers at XYZ showed a sample mean annual salary of $170,000. Assume a population standard deviation of $30,000 with a = 0.05 as the value of significance, what is your conclusion? Need to know whether this is a one tailed or two tailed step and how do you know that? Need step by step breakdown so I can follow and study for exam please. The time needed to drive from city A to city B is normally distributed with a mean of 180 minutes and standard deviation of 20 minutes. a) what is the probability that a person will drive from city a to city b in three hours or more? b) what is the probability that a person will drive from city a to city b in more than 140 minutes? c) what is the probability that a person will drive from city a to city b in exactly three hours? d) what is the probability that a person will drive from city a to city b in less than 2.5 hours? Please answer with step by step directions and state formula being used. In an effort to estimate the mean annual amount spent per customer for groceries at a particular supermarket data were collected for a sample of 100 households. The sample showed an average amount of $8,000. If the population standard deviation is $500, a) develop an 80% confidence interval estimate of the population mean annual amount spent b) develop an 85% confidence interval estimate of the population mean annual amount spent c) if the data were collected for a sample of 50 households rather than 100, develop an 85% confidence interval estimate of the population mean annual amount spent, assuming the population has a normal probability distribution. what does is mean a normal probability distribution and how is it different from part a) and b).
Identify the indicated values or interpret the given display. In a survey of 703 randomly selected workers,
Using least squares regression analysis, what would you estimate demand to be for each month next year?
A life insurance policy has determined that each week an average of seven claims is filed in its Nashville branch. What is the probablity that durning the next week exactly seven claims will be filed?
Is this a one or two tailed test? (b) What is the decision rule? (c) What is the value of the test statistic? (d) What is your decision regarding H0? (e) What is the p-value? Please show me your calculations. Interpret the results.
Calculate the 95% confidence interval for the rate of positive tuberculin reaction separately for each of the two subpopulation, those with high exposure and those with low exposure.
The proportion of adults in the sample, as her estimate of p, the proportion of adults in the pond population. Find using the normal approximation with the continuity correction.
Random sample of 36 theaters resulted in mean of $7.80. Population standard deviation is $1.00. Determine conclusion can be made at 10% significance level? How about 5% significance level?
At the .05 significance level, is the number of units produced on the afternoon shift larger?
A researcher measures a response variable Y and explanatory variable X on each of several objects. A scatterplot of the measurements is as follows.
According to TNS Intersearch, 69% of wireless web users use it primarily for receiving and sending e-mail. Suppose that three wireless web users are selected at random. What is the probability that all of them use it primarily for e-mail?
What is the probability that Sara will die in her 60 th year? Using this probability and the $50,000 death benefit, what is the expected loss to Big Rock Insurance?
A correlation coefficient computed for n=18 and a=0.10 is r=0.692. . Using the t -test for the correlation coefficient, what are the critical values?
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