Answer all

What is the hypothetical likelihood that a considerably number

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will be moved on a number 3D shape? ?

?

2.) What was the test likelihood of how often ?

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a much number was really moved utilizing the table? ?

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3.) If you roll a number solid shape a day and a half, how often would ?

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you hope to roll the main? ?

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4.) what number occasions did you really roll the main in the analysis? ?

?

5.) What is the hypothetical likelihood for rolling a number more prominent than 4? ?

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6.) What was the exploratory likelihood of rolling a number more prominent than 4? ?

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7.) What is the distinction among hypothetical and exploratory likelihood? ?

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8.) If a vehicle production line checks 360 vehicles and 8 of them have deserts, the number of will have surrenders ?

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out of 1260? ?

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Number on Cube Frequency ?

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1 8 ?

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2 3 ?

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3 9 ?

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4 6 ?

?

5 4 ?

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6 ?

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9.) If a vehicle production line checks 320 vehicles and 12 of them have surrenders, the number of out of 560 will ?

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NOT have deserts? ?

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10.) You plant 30 African violet seeds and 9 of them sprout. Utilize trial likelihood to ?

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foresee what number of will grow in the event that you plant 20 seeds??

concessions. The study revealed that the spending distribution is approximately normally distributed with

mean of $4.11 and a standard deviation of $1.37. What percentage of customers will spend less than $3.00?

on concessions??

Question 4 2 pts Which of the following statements about the sampling distribution of the sample mean is incorrect? The sampling distribution of the sample mean is approximately normal whenever the sample size is sufficiently large (n > 30). O The mean of the sampling distribution of the sample mean is equal to u. The standard deviation of the sampling distribution of the sample mean is equal to o. The sampling distribution of the sample mean is generated by repeatedly taking samples of size n and computing the sample means.Question 11l1 point} E] A random number generator is set to produce any real number between {i and 15 and it is uniformly distributed. Consider the distribution of all sample averages {sampling distribution of the sample meanl consisting of averaging three random numbers from the uniform distribution. Which statement is correct concerning the sampling distribution of the mean for this scenario. The sampling distribution of the sample mean will be approximately normally distributed. The sampling distribution of the sample mean will be exactly normally distributed. The sampling distribution of the sample mean will be uniformly distributed. The sampling distribution of the sample mean will be have a triangular shape. The sampling distribution of the sample mean will have a distribution that is not mentioned in the above choices. it is something else altogether. Identify all instances in which the central limit theorem can be applied Group of answer choices {A} N = 15 and the sampling distribution ofthe sample mean is normal {E} N = 45 and the sampling distribution ofthe sample mean is normal {C} N 2 3'0 and the sampling distribution ofthe sample mean is unknown {D} N = 15 and the sampling distribution ofthe sample mean is unknown {E} N = 45 and the sampling distribution ofthe sample mean is unknown