Age - X Number of meal in a day - Y Frequency of snack in a day - Z. Can we conclude that X, Y and Z follow a normal distribution? Why?
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- Normal distribution is characterized by skewness of________?X and Y are independentQ3/ The following data represent the lifetimes of light bulbs (in months), frequency distribution was obtained; Find the mean, variance and standard deviation. Class limits frequency 10-20 21-31 10 32-42 3 43-53 54-64 18 65-75
- How do I find t=Pearson correlation statistic is only valid when the relationship between the two quantitative (continuous) variables isA special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage). Statistic Test Group Control Group Mean Damage x¯1x¯1 = $ 1,101 x¯2x¯2 = $ 1,766 Sample Standard Deviation s1 = $ 696 s2 = $ 838 Repair Incidents n1 = 12 n2 = 9 (a) Construct a 90 percent confidence interval for the true difference of the means assuming equal variances. (Round answers to 3 decimal places. Negative values should be indicated by a minus sign.) (b) Repeat part (a), using the assumption of unequal variances with Welch's formula for d.f. (Round answers to 2 decimal places. Negative values should be indicated by a minus sign.) (d) Construct separate…
- What type of distribution is appropriate to model the number of unsuccessful job applications until the first job offer. Binomial Normal Exponential Poisson Geometric*Do not U classroom in the first 20 Find a Variance V h Mode class and Mode e. Median Class and Median d. IQR CLASS FREQUENCY 0-2 2-4 5 4-6 12 6-8 15 8-10 9. TOTAL 44 1. the table below that is the of the grade of a of 44 students.A population forms a normal distribution with a meaning of 85 and a standard deviation of 24 compute the Z score for the sample mean M equals 914N equals 36 what is Z
- 1 example solution of mean and variance using Bernoulli Distribution.Top quality 15% of the production is good quality, the worst 15% is bad quality, the rest are medium quality It is defined as. It is known that the production shows normal distribution with average and variance of 100. According to this; a) Below which yield level is poor quality valid? b) What yield levels is medium quality in? c) What level of efficiency is good quality called above?Iilustraiion 19.28, A correlation :coefficient of 0.2 is obtained from a random sample of 1,600 pairs of observations. Do you think this value of correlation coefficient is signinificant?
