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Classification of technique related to the problem.
To determine monthly rental prices of apartment units in San Francisco Bay area, samples were constructed in the following ways. Identify the technique used to produce each sample. (Cluster, convenience, random, stratified, systematic):
1. Number all the units in the area and use a random number table to select the apartments to include in the sample.
2. Categorize the apartment units according to the number of bedrooms and then take a random sample from each of classes.
3. Order the apartments according to zip code and take a random sample from each of the zip code regions.
4. Look in the newspaper and choose the first apartments you find that the list rents.
Testout the significance of the sample correlation also develop regression equation with scatter plot. Calculate chi-square is less than the critical value
One use of the Chi-square goodness of fit test is to determine if specified multinominal probabilities in the null hypothesis is correct.
If 1 man aged 18-24 is arbitrarily chosen, determine the probability that his serum cholesterol level is between 165 and 200.
Using the simple test of independence (described in the lecture), decide if the events high calorie and high fiber are independent or dependent. Show your work.
At the .01 significance level, can we conclude that there is more variation in the selling prices of the oceanfront homes?
A noted psychic was tested for ESP. The psychic was presented with 400 cards face down and asked to determine if each card was marked with one of four symbols: a star, cross, circle, or square. The psychic was correct in 120 cases. Let p represent..
Based on the answers to a through d, decide whether or not to reject the null hypothesis at the given significance level. Explain your conclusion in the context of the problem.
As it is a 2 _ 2 table, try also two-tailed two-sample z test for ð1 = ð2 and verify that z2 is same as your chi-square statistic. Which test do you favour? Describe why?
The average number of hours of sleep per night that a college freshman gets is 6.50 with a standard deviation of 1.80 hours. If 35 college freshmen are randomly chosen find the probability that they average at least seven hours of sleep per night.
Describe what you find then produce an ANOVA for the problem.
Calculate expected number of interruptions per day. Calculate standard deviation.
A school tracks the absences of pupils as part of a flu surveillance system. Regular reporting of absences among 25 students in grade 1 are taken, and based on these data, the long-run proportion of absences under normal conditions is estimated to..
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