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The frequency distribution of 100 families given below, the number of families corresponding to the expenditure groups, 20-40 and 60-80 are missing from the table. However the mean of the distribution is known to be 50. Find the missing frequency.
Expenditure Frequency
0-20 14
20-40 f1
40-60 27
60-80 f2
80-100 15
What is the hourly rate for cars entering the tunnel? Given rate is per minute therefore to get the hourly rate we need to x 60. Hourly rate -= 0.5 x 60 = 30 cars/hour.
What about these descriptive statistics makes you wary or uncomfortable? In other words, if you were a real estate agent, would you go around spouting the answers that you gave above? Explain.
According to a report by Scarborough Research, the average monthly household cellular phone bill is $73. Suppose local monthly household cell phone bills are normally distributed with a standard deviation of $11.35.
Find the 95% confidence interval for the mean, of the population from which the sample was drawn. (Round the values to whole numbers for your confidence interval.)
Change the frequencies to percentages - is there a group more likely to get high salaries.
In a regression analysis, if a new independent variable is added and R-squared increases and adjusted R-squared decreases precipitously, what can be concluded?
Found mean number of sticks of gum chewed per day was 9. Standard deviation of population is 1. At α = 0.05, is number of sticks of gum person chews per day actually greater than 8?
Estimating the combined mean values for the given data - find the mean for the combined sample
Does the normal distribution yield a good approximation of the actual results?
question the monthly sales of mufflers follow the normal distribution with a mean of 1200 and a standard deviation of
Tax companies imply that the returns they prepare are perfect, but what proportion of returns from tax companies have mistakes? To answer this question
Body mass index is measured as the ratio of weight in kilograms to height in meters squared. Generate a 95% confidence interval estimate of the true BMI.
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