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Q1) A random sample of 10 observations has been drawn from normal population, and sample variance is found to be s2 = 19.5. Find out the 98% confidence interval for σ2.
Q2) Random sample of n = 12 is drawn from population which is normally distributed, and sample variance s2 = 19.3. Use α = 0.025 in testing H0: σ2 ≤ 9.4 versus H1 : σ2 > 9.4.
Q3) A research organization has gathered the following data on household size and telephone ownership for 200 U.S. households. At 0.05 level, are two variables independent? Based on chi-square table, what is the most correct statement which can be made about the p-value for the test?
Telephones owned
≤ 1
2
≥ 3
Persons in the house hold
≤2
49
18
13
80
3-4
40
27
21
88
≥5
11
8
32
100
58
42
200
Test out an suitable hypothesis also state your conclusion. Make sure the suitable assumption as well as conditions are satisfied before you proceed.
If random sample of thirty six customer transactions points out that sample mean withdrawal amount is $172, is there evidence to think that population mean withdrawal amount is no longer $160? Determine the mean of data above?
A student team examined parked cars in four different suburban shopping malls. One hundred vehicles were examined in each location. Research question: At α = . 05, does vehicle type vary by mall location?
Researcher asked group of 30 students - 12 of them supported change, 13 of them didn't, and 5 had no opinion. This is not binomial model as?
where p is the binomial probability of returning a completed survey, and log is the natural logarithm. The multiple logistic regression output from fitting this model is given below.
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Probability using discrete distribution.The probability distribution for the random variable x follows.
The data in the scatterplot below are an individual's weight and the time it takes (in seconds) on a treadmill to raise his or her pulse rate to 140 beats per minute. The o's correspond to females and the +'s to males.
At α = .01, did yellow fire trucks have a considerably lower accident rate? Determine sample proportions and z test statistic.
Obtain a test statistic and p -value. Interpret the results at α = .01.
Based on these data, explain whether or not course attendance had any effect on determining of a restaurants violation of health code.
The sales manager had predicted, before the business started, that year 1's sales would be 410 air conditioners. Using exponential smoothing with a weight of alpha = 0.30, develop forecasts for years 2 through 6.
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