The spread of the sampling distribution of x¯x¯ is ____________ the spread of the corresponding population...
The spread of the sampling distribution of x¯x¯ is ____________ the spread of the corresponding population distribution sampling distribution.
exactly ½
smaller than
larger than
the same as
Homework Answers
as we know that spread of sample mean =std deviation/sqrt(n)
hence The spread of the sampling distribution of x¯ is smaller than the spread of the corresponding population distribution sampling distribution.
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The spread of the sampling distribution of x¯x¯ is ____________
the spread of the corresponding population...
The spread of the sampling distribution of x̅ is ___ the spread of the corresponding population...
The spread of the sampling distribution of x̅ is ___ the spread of the corresponding population distribution sampling distribution. larger than smaller than the same as exactly 1/2
1. A.Explain why the spread (variance) of a sampling distribution for estimating a mean would be...
1. A.Explain why the spread (variance) of a sampling distribution for estimating a mean would be smaller than the spread (variance) of the whole population. B.Discuss what happens to the shape AND spread of a sampling distribution as sample size (n) is increased. C.Explain why it is essential that the sampling distribution be normally distributed (or t-distributed) in order to do the statistical inference procedures.
Which of the following statements about the sampling distribution of the sample mean, x-bar, is not...
Which of the following statements about the sampling distribution of the sample mean, x-bar, is not true? The distribution is normal regardless of the shape of the population distribution, as long as the sample size,n, is large enough. The distribution is normal regardless of the sample size, as long as the population distribution is normal. The distribution's mean is the same as the population mean. The distribution's standard deviation is smaller than the population standard deviation. All of the above...
Use technology to create sampling distributions for a uniform population distribution. Complete parts a through d...
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...
Which of the following is true about the sampling distribution of means? Shape of the sampling...
Which of the following is true about the sampling distribution of means? Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0. Sampling distributions of means are always nearly normal. Sampling distributions of means get closer to normality as the sample size increases.
Which of the following is true about the sampling distribution of means? Shape of the sampling...
Which of the following is true about the sampling distribution of means? Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0. Sampling distributions of means are always nearly normal. Sampling distributions of means get closer to normality as the sample size increases.
The histogram below represents the population distribution. Suppose a sampling distribution of x is constructed from...
The histogram below
represents the population distribution. Suppose a sampling
distribution of x is constructed from samples of size 120 from this
population. Which one of the following figures best approximates
the sampling distribution of x?
7. The histogram below represents the population distribution. Suppose a sampling distribution of is constructed from samples of size 120 from this population. Which one of the following figuros best approximates the sampling distribution of X? Population Distribution = 6.1 G 7.2 Percent pounds...
Which of the following statements about the sampling distribution of the sample mean, x-bar, is not...
Which of the following statements about the sampling distribution of the sample mean, x-bar, is not true? The distribution is normal regardless of the shape of the population distribution, as long as the sample size, n, is large enough. The distribution is normal regardless of the sample size, as long as the population distribution is normal. The distribution's mean is the same as the population mean. The distribution's standard deviation is smaller than the population standard deviation. All of the...
Suppose an x distribution has mean μ = 2. Consider two corresponding x distributions, the first...
Suppose an x distribution has mean μ = 2. Consider two corresponding x distributions, the first based on samples of size n = 49 and the second based on samples of size n = 81. (a) What is the value of the mean of each of the two x distributions? For n = 49, μ x = For n = 81, μ x = (b) For which x distribution is P( x > 2.5) smaller? Explain your answer. The distribution...
Suppose an x distribution has mean μ = 3. Consider two corresponding x distributions, the first...
Suppose an x distribution has mean μ = 3. Consider two corresponding x distributions, the first based on samples of size n = 49 and the second based on samples of size n = 81. (a) What is the value of the mean of each of the two x distributions? For n = 49, μx = ? For n = 81, μx= ? (b) For which x distribution is P(x > 3.75) smaller? Explain your answer. a. The distribution with...
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...
The histogram below
represents the population distribution. Suppose a sampling
distribution of x is constructed from samples of size 120 from this
population. Which one of the following figures best approximates
the sampling distribution of x?
7. The histogram below represents the population distribution. Suppose a sampling distribution of is constructed from samples of size 120 from this population. Which one of the following figuros best approximates the sampling distribution of X? Population Distribution = 6.1 G 7.2 Percent pounds...
Which of the following statements about the sampling distribution of the sample mean, x-bar, is not true? The distribution is normal regardless of the shape of the population distribution, as long as the sample size, n, is large enough. The distribution is normal regardless of the sample size, as long as the population distribution is normal. The distribution's mean is the same as the population mean. The distribution's standard deviation is smaller than the population standard deviation. All of the...
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