The frequency tables, relative frequencies, and histograms all show the relative frequencies of the distribution. They display the distribution using the tables or graphs that approximately visualizes the sampling distribution of the population.

Question

asked 2020-11-05

How do frequency tables, relative frequencies, and histograms showing relative frequencies help us understand sampling distributions?
They show each data point in the sampling distribution and how it relates to the overall distribution.They provide insight into the overall behavior of the population, therefore helping us understand the sampling distribution. They help us visualize the sampling distribution by using tables and graphs that approximately represent the sampling distribution.They help us visualize the sampling distribution by using tables and graphs that approximately represent the population distribution.

asked 2021-02-21

How can relative frequencies be used yo help us estimate probabilities occuring in sampling distributions?

asked 2021-02-11

To explain: The ways in which relative frequencies can be used to help us in estimating probabilities occurring in sampling distributions.

asked 2021-01-08

Critical Thinking Let x be a random variable representing the amount of sleep each adult in New York City got last night. Consider a sampling distribution of sample means \(\overline{x}\).

How do the two \(\overline{x}\) distributions for sample size \(n = 50\ and\ n = 100\) compare?

How do the two \(\overline{x}\) distributions for sample size \(n = 50\ and\ n = 100\) compare?

asked 2021-03-11

1) Describe sampling distributions and sampling variavility

2) Explain The Central Limit Theorem

3) Explain how confidence intervals are created and what can they tell us about population parameters

2) Explain The Central Limit Theorem

3) Explain how confidence intervals are created and what can they tell us about population parameters

asked 2021-01-31

Critical Thinking Let x be a random variable representing the amount of sleep each adult in New York City got last night. Consider a sampling distribution of sample means \(\overline{x}\).

What value will the standard deviation \(\sigma_{\overline{x}}\) of the sampling distribution approach?

What value will the standard deviation \(\sigma_{\overline{x}}\) of the sampling distribution approach?

asked 2020-10-28

Explain the statement ‘The main priority with sampling distributions is to get across the idea that estimates and other statistics change every time we do a new study’.

asked 2020-11-11

Explain how to use the sampling distributions of A and B to decide which is the best estimator of \(\alpha\).

asked 2021-01-28

Select all that apply. We show that our sample statistics have (at minimum) a somewhat normal distribution because

this allows us to use t and z critical values.

this allows us to use t and z tables for probabilities.

this tells us that our sampling is appropriate.

normal distributions are cool and that's all we talk about in this class.

this allows us to use t and z critical values.

this allows us to use t and z tables for probabilities.

this tells us that our sampling is appropriate.

normal distributions are cool and that's all we talk about in this class.

asked 2021-03-09

The correct statement which is incorrect from the options about the sampling distribution of the sample mean

(a) the standard deviation of the sampling distribution will decrease as the sample size increases,

(b) the standard deviation of the sampling distribution is a measure of the variability of the sample mean among repeated samples,

(c) the sample mean is an unbiased estimator of the true population mean,

(d) the sampling distribution shows how the sample mean will vary in repeated samples,

(e) the sampling distributions shows how the sample was distributed around the sample mean.

(a) the standard deviation of the sampling distribution will decrease as the sample size increases,

(b) the standard deviation of the sampling distribution is a measure of the variability of the sample mean among repeated samples,

(c) the sample mean is an unbiased estimator of the true population mean,

(d) the sampling distribution shows how the sample mean will vary in repeated samples,

(e) the sampling distributions shows how the sample was distributed around the sample mean.