When 2 uniform distributions are averaged, the resulting histogram represents this type of shape: A) Uniform B) Triangular C) Bell Curve (Normal Distribution) D) Exponential
When 2 uniform distributions are averaged, the resulting histogram represents this type of shape: A) Uniform...
QUESTION 16 When many uniform distributions are averaged, the resulting histogram represents this type of shape O Uniform O Triangular O Normal Distribution (Bell Curve) O Exponential QUESTION 17 When we imagine a drunk staggering down the middle of a busy highway and if we assume the center line of the highway as the drunk's average position, the state of the drunk at his/her/their average position is O Dead O Alive O Neither O Flattened but alive QUESTION 16 When...
Use technology to create sampling distributions for a uniform population distribution. Complete parts a through d below. Population Distribution a. Use technology to create a sampling distribution for the sample mean using sample sizes n=2. Take N=5000 repeated samples of size 2, and observe the histogram of the sample means. What shape does this sampling distribution have? O A. The sampling distribution is triangular. OB. The sampling distribution is normal. OC. The sampling distribution is uniform. OD. The sampling distribution...
5 eston. Pus 12 of 32 (18 complete) The relative frequency histogram represents the length of phone calls on George's cell phone during the month of September. Determine whether or not the histogram indicates that a normal distribution could be used as a model for the variable Can a normal distribution be used as a model for the variable? O A. No, because the histogram does not have the shape of a normal curve OB. Yesbecause the histogram does not...
The uniform, normal, and exponential distributions a. are all continuous probability distributions. b. are all discrete probability distributions. c. are all the same distributions. d. can be either continuous or discrete, depending on the data.
1.Which of the following distributions is widely used to describe the time between random events? Uniform distribution Exponential distribution Poisson distribution Normal distribution None of the answer choices is correct. 2. Which of the following distributions is not skewed? Normal distribution Uniform distribution Lognormal distribution Exponential distribution I only II only III only IV only Only I and II
2. If X is a random variable following a Uniform(a,b) distribution, which option represents an approxi- mate shape of its density function? a) straight vertical line between a and b b) straight horizontal line between a and b c) symmetric U shaped curve between a and b d) symmetric inverse U shaped curve between a and b
Which of the following is incorrect about the shape of distributions? a. Kurtosis is a measure of whether the data are heavy or light-tailed relative to a normal distribution. b. A distribution that is more peaked than normal is leptokurtic. c. Skewness is a measure of the lack of symmetry for a data set. d. All of the above are correct.
Which statement is NOT true about the histogram? a. The histogram is always a normal distribution. b. The histogram can show the shape of your data set. c. The histogram is a visual picture of variability. d. The histogram is sometimes referred to as a frequency distribution.
An histogram showing distribution of 17,18,20,21,21,22,23,23,23,24,24,24,24,25,25,25,26. what is the shape of the distribution? 1.)Positively skewed 2.) Negatively Skewed 3.) Normal 4.) Bimodal
If X is a random variable following a Uniform(a,b) distribution, which option represents an approxi- mate shape of its density function? a) straight vertical line between a and b b) straight horizontal line between a and b c) symmetric U shaped curve between a and b d) symmetric inverse U shaped curve between a and b