Learning Check 7.1

The data could be in a order that would skew the results. Therefore, mixing the balls up will guarantee for a random sample.

Learning Check 7.2

The sample was randomized so, no matter how many red balls or people getting them, they will not get the same amount.

Learning Check 7.3

The sample has not been randomized enough to accuratily find results from the sample. Each group (33) will have the best results if the sample is randomized each time.

Learning Check 7.4

Because it is very tedious and time-consuming to take 1000 tactile samples.

Learning Check 7.5

30 percent is likely accourding to the graph. 10 percent is not very likely.

Learning Check 7.6

A. Vary less

Learning Check 7.7

B. The standard deviation

Learning Check 7.8

A population parameter is a numerical summary quantity about the population that is unknown and we are looking to find. No

Learning Check 7.9

Performing a census would count all the observations and would compute an exact parameter. We did not perform one because we had a very large sample.

Learning Check 7.10

Point estimates is a summary statistic computed from a sample that estimates an unknown population parameter. Point estimate is important in our data set because sample proportion. It indicates a estimate.

Learning Check 7.11

We randimize them many times.

Learning Check 7.12

If the data is not random then ones result will be skewed.

Learning Check 7.13

We can infer that there are more red balls than others.

Learning Check 7.14

Sampling distributions shows the sampling variation on the distribution on any point estimate and what we can expect from it.

Learning Check 7.15

The standard error quintifies the amount of red balls change.

Learning Check 7.16

n = 25 - 0.099 n = 100 - 0.048 n = 50 - 0.071

Learning Check 7.17

A accurate estimate is a result that could vary. A precise estimate is a result that is almost exact.

Learning Check 7.18

We center at the true value of the population proportion. And compare to both variables

Learning Check 7.19

To get the most accurate results.

Learning Check 7.20

# A tibble: 1 x 2
  sum_red sum_not_red
    <int>       <int>
1     900        1500

Learning Check 7.21

The Air Force would need to take a population parameter to find out.

Learning Check 7.22

The data is generalizable and they would take a random sample to find the unbiased results.

Learning Check 7.23

I would us the bowl technique and limit the views to the dates I looked to find.

Learning Check 7.24

I would take a census of the data.