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Q1) One of the factors which a company will use in finding whether it will locate new facility in a community is status of real estate market. Managers believe that significant measure of real estate market is average length of time that homes stay on market before selling. They think that if mean time on market is less than 45 days, real estate market is favourable. To test this in particular area, a random sample of n = 100 homes which sold in past six months was selected. Mean for this sample was 40 days. It is believed that population standard deviation is 15 days. If test is conducted using 0.05 level of significance, what conclusion must be reached?
Q2) State Department of Weights and Measures is responsible for making sure that commercial weighing and measuring devices, like scales, are correct so customers and businesses are not cheated. Periodically, employees of department go to businesses and test their scales. For instance, dairy bottles milk in 1-gallon containers. Assume that if filling process is working accurately, mean volume of all gallon containers is 1.00 gallon with standard deviation equal to 0.10 gallons. Based on this information, if department employee selects random sample of n = 9 containers, determine probability that mean volume for sample will be greater than 1.01 gallons?
a) 0.3821
b) 0.1179
c) 0.6179
d) 0.2358
Start rolling dice until a particular number, say 3, is obtained, and keep track of how many rolls are necessary. Repeat 100 times. Then find the average.
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.
At 5% level of significance, is there evidence of difference in mean life of bulbs made by the 2 kinds of machines. What is your conclusion?
At a large commercial bakery, one of the measures familiar with evaluate employees is the number of broken cookies per 1000 produced. The quality control department wants to determine if there is a relationship between years of experience and bro..
Small bag of Skittles candies has following assortment: red (12), blue (5), orange (15), brown (0), green (16), and yellow (7). Create the probability distribution for x.
Compute the effect size with gender as the grouping variable and ADDSC as the dependent variable.
Assume a one-tailed t -test is being applied to determine if population mean is less than $212. Level of significance chosen is 0.01 and 26 accounts are sampled. Determine the critical value?
Draw a scatter diagram of the following bivariate data.
He would like to estimate with .05 of the true proportion with a confidence level of 90%. What is the sample size needed?
Determine for each variable if it is the explanatory variable, the response variable, or whether it could be both.
What is the probability that a person who has submitted one entry will win the following?
Calculate (rounded to the nearest tenth) The correlation between IQ and Anxiety r =??
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