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To find out the mean, standard deviation and range.
Descriptive Statistics. The Range Rule of Thumb can be used to calculate quickly an approximate standard deviation for a raw data set. To apply the rule, follow the steps below:
(i)Find out the lowest and highest values. (ii) estimate the range. (iii) Divide the range by 4.
The reason why we finish our calculation by dividing range by 4 is that in most data sets 95% of the data values fall within two standard deviations of the mean.
Find the approximate standard deviation, s, for the following set of listed home selling prices. Show your method. Do not use Excel.
$125,500
$131,900
$188,900
$205,750
$181,500
$175,000
$144,800
$250,000
$235,850
$225,000
$248,500
$435,000
$457,500
$166,900
$399,000
$350,000
$221,000
$168,000
$325,000
$112,900
$145,600
$220,500
$140,000
$179,900
$125,900
$230,850
$385,000
$287,500
$121,900
$405,900
At the .05 significance level, can we conclude that the guideline is still reasonable?
Find out the suitable critical value(s) for this situation given a 0.05 significance level. Find out/compute the value of sample test statistic.
Based on this sample information, create a 90% confidence interval for population mean yearly premium.
In a regression model involving 30 observations, the following estimated regression equation was obtained:
As we can say there is 5.5 percent chance of seeing the current policy having an effect on smog in the results we observed from natural sampling variation.
At the 5 percent level of significance, can we conclude that the mean weight is greater than 16 ounces? Determine the p- value.
To findout the point estimate of the difference among population mean. Elucidate the percentage increase in the number of days on the disabled list.
Enter relative proportions of the 3 samples in order (20,50,30) in "Expected values" area.
the maximum point total for the quarter was 200. The point totals for the 10 students are given in the stemplot below. For the density curve displayed below, which of the following is true?
What are the two ways of testing a correlation coefficient for significance?
If a complete failure occurs, calculate the probability that the fault occurred in:
Compute and interpret each of the statistics in parts(a) through (f) Mean and Median.
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