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In a normal distribution with mean =50 and a standard deviation =10, what is the probability of randomly sampling a subject who scores:
a) 64 or higher?
b) 68or higher?
c) 45 or higher?
d) 45 or lower?
e) Between 40 and 58?
Why might a t test not be very useful in this case?
The mean and standard deviation of these scores are 23.0 and 5.0 respectively. The test was administered to 100 students. What is the T-score equivalent to the raw-score 13?
One variable recorded is the count X of finish defects (dimples, ripples, etc) in the car's paint. Is it reasonable to use a binomial distribution?
1.my bootstrap distribution after 1000 resamples is shown in the histogram and summary statistics below.based on this
Identifies four criteria and their corresponding percentage weights. Option A has ranks as shown in the table below: Calculate the importance score sum for option A?
I'm having difficulty understanding and showing in layman terms or simple terms an example and comparison between the ANOVA test, Kruskal-Wallis test, and T-Test Statisitc.
Suppose a bookie will give you $6 for every $1 you risk if you pick the winner in 3 ballgames. For every $1 bet, you either lose $1 or gain $6. What is the bookie's expected earnings per dollar wagered?
The northern and southern halves of the state
For a normal distribution, the probability of randomly selecting a z-score greater than z = -2.00 is p = .0228.
Suppose that by the end of 2009, that percentage was 85%. If a sample of 10 U.S. adults is selected, what is the probability that:
Your company has two warehouses in Detroit and Dallas. Detroit has 150 units ready to ship, Dallas 180 units. You have to fulfill two orders, one for 120 units to New York, and one for 190 units for Las Vegas.
Determine the probability, P(Z
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