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Q. A toothpaste company want to know if its new product increases the length of time in-between dentist visit to its user. The company sets a target for 180 days to determine if its product prevents dentists' visits longer than other toothpaste. A random sample of 49 customers is taken with a mean of 186 days and standard deviation of 20. Set up a one tail test with an alpha equal to 0.05.
(2) Consider the computer output below:
Variable
N
Mean
Standard Deviation
O
x
15
8.69
?
0.443
(i) Calculate the missing value indicated by the question mark
(ii) Calculate a 95% confidence interval about the mean. What conclusion will you draw from this result
(iii) The example above is taken from an experiment done by a freight company that wanted to test the claim that deliveries were completed within 8 working days being sent. What conclusion can be drawn about delivery times?
Kleiner Hartigan trees is a technique for displaying the multivariate data graphically as the 'trees' in which the values of the variables are coded into length of the terminal br
work sheet within answer
The more effective display than a number of other methods or techniques, for instance, pie charts and bar charts, for displaying the quantitative data which are labeled. An instanc
Difference b/w historigram and histogram
Negative binomial distribution is the probability distribution of number of failures, X, before the kth success in the sequence of Bernoulli trials where the probability of succes
This is acronym for the Epidemiological, Graphics, Estimation and Testing of the program developed for the analysis of the data from studies in epidemiology. It can be made in use
hello I have a dataset including both categorical & numerical variable for market segmentation.how can i cluster them via k-means in matlab? thank you
Q1: The growth in bad debt expense for Aptara Pvt. Ltd. Company over the last 20 years is as follows. 1997 0.11 1998 0.09 1999 0.08 2000 0.08 2001 0.1 2002 0.11 2003 0.12 2004 0.1
Non parametric maximum likelihood (NPML) is a likelihood approach which does not need the specification of the full parametric family for the data. Usually, the non parametric max
Mardia's multivariate normality test is a test that a set of the multivariate data arise from the multivariate normal distribution against departures due to the kurtosis. The test
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