Mathematics, 11.12.2019 21:31, ghernadez
When testing μ, how do we decide whether to use the standard normal distribution or a student's t distribution? if the x distribution is normal and n ≥ 30 with known σ we use the student's t. with the same conditions and unknown σ we use the standard normal. if the x distribution is normal and n ≥ 20 with known σ we use the standard normal. with the same conditions and unknown σ we use the student's t. if the x distribution is normal and n ≥ 30 with known σ we use the standard normal. with the same conditions and unknown σ we use the student's t. whenever we assume the populations are independent, we always use the standard normal.
Answers: 1
Mathematics, 21.06.2019 16:30, itsdeevv
You drop a rubber ball off the roof of a 50 meter high building onto a paved parking lot. it bounces back up with every bounce, but not quite all the way back up to you. after the first bounce it bounces back only 80 percent of the distance it was dropped from. the pattern continues, meaning after every bounce it comes up to just 80 percent of the previous maximum height. so if before the first bounce the height is 50 meters, what height does the ball reach after the fifth bounce? round your answer to one decimal place and chose the correct response from the choices below:
Answers: 1
Mathematics, 21.06.2019 19:30, estherstlouis7812
1. find the area of the unshaded square 2. find the area of the large square 3. what is the area of the frame represented by the shaded region show
Answers: 1
Mathematics, 21.06.2019 22:00, goodperson21
White shapes and black shapes are used in a game. some of the shapes are circles. while the rest are squares. the ratio of the number of white shapes to the number of black shapes is 5: 11. the ratio of the number of white cicrles to the number of white squares is 3: 7. the ratio of the number of black circles to the number of black squres is 3: 8. work out what fraction of all the shapes are circles.
Answers: 2
When testing μ, how do we decide whether to use the standard normal distribution or a student's t di...
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