Calculator Functions
Sampling or Experimental Design
Probability & Probability Distributions
Confidence Intervals or Significance Tests
Word Problems
100

What does the zoom → 9: ZoomStat function do?

ZoomStat allows you to see graphical representation of your stat plots

100

What is a sample?

A subset of individuals in the population from which we actually collect data

100

What are the conditions for a binomial distribution?

B - binary (success or fail)

I - independent

N - number of trials

S - success (how many?)

100

How do we state what we’re doing for a confidence interval?

"We will use a ___________ interval to estimate, with ___ % confidence, the true (mean/proportion) of __________ ."

100

In the local middle school, 60% of the students have black hair, 22% have brown hair, 9% have blond hair, 2% have red hair, and 7% have dyed hair. What graph would best represent this data.

Pie chart or Bar Graph

200

What function of the calculator allows you to find the z* of a confidence level? Use it to find the z-score of confidence level 88%.

invNorm; z* = 1.5547

200

What are types of sampling bias and response bias? Name 2 for each

  • Sampling Bias

    • Undercoverage

    • Non response bias

    • Voluntary response bias

  • Response Bias

    • Leading questions

    • Confusing questions

    • False answers

200

Why can two mutually exclusive event never be independent?

Mutually exclusive events can still effect each other but independent events cannot.

200

What is the formula for confidence intervals?

statistic +- critical value*standard deviation of statistic

200

A certain milk company is suspected of underfilling its cartons of banana milk. The company claims the average amount of milk in each carton contains 10 oz of banana milk with a standard deviation of 0.3 oz. What is the probability that a random sample of 100 cartons produce a sample mean fill of 9.5 oz or less?

Normalcdf (10^-10, 9.5, 10, .3) = 0.04779

300

What does the LinRegTInt function do?

Provides the confidence interval for linear regression slope coefficient B and computes linear regression T confidence interval for slope coefficient B

300

Name two types of samples and describe them

  • Simple Random Sample (SRS)

    •  a subset of a statistical population in which each member of the subset has an equal probability of being chosen

  • Stratified Random Sample
    • A method of sampling that involves the division of the population into smaller groups (strata)

  • Cluster Sample

    • A sampling method that divides a population into separate groups of which a simple random sample is taken of the groups selected

  • Convenience Sample

    • Choosing individuals from the population who are easy to reach

300

In what cases do you use CDF and PDF for binomial and geometric distributions?

PDF is used for exact; CDF is used for inequalities of equal to or fewer

300

What would happen to the confidence interval if we increase and decrease sample size? 

Confidence interval would decrease, and then confidence interval will increase. 

300

Koichi wants to buy stocks from the Speedwagon Foundation. The null hypothesis is that Koichi will make profit. Koichi will make a type I error by doing what? Koichi will make a type II error by doing what?

Type I Error - Koichi decides to not buy in Speedwagon stocks even though it will net him profit. He loses the opportunity to get money. 

Type II Error - Koichi decides to buy Speedwagon stocks and he loses money. 

400

Using the calculator, find the interval that has the true proportion with .96 confidence, given the sample size is 1500, and sample proportion is 0.68. Assume all conditions are met. List the steps you did to get your answers.

  1. Found .68 of 1500, which is 1020. 

  2. Stat → Tests → 1-PropZInt…

  3. X: 1020 / n: 1500 / C-level 0.96 → calculate

  4. Answer: (0.65526, 0.70474)

400

Name pros and cons for 1 sample type

  • Simple Random Sample (SRS)

    • Pro: every group of n individuals in the population has an equal chance to be selected as the sample

    • Con: does not work well with large populations

  • Stratified Random Sample

    • Pro: Will reduce variability of possible sample results

    • Con: Cannot be used in all studies since there are several conditions that must be met for it to be used properly. Hence, it is disadvantageous when each member of the population cannot be classified into a subgroup 

  • Cluster Sample

    • Pro: cheap, quick, and easy. Can easily increase sample size 

    • Con: Least representative of a population of all probability sampling. This technique also has a high possibility of sampling error

  • Convenience Sample

    • Pro: quick and easy to get people 

    • Con: very underrepresenting of a population

  • Voluntary Response

    • Pro: you get responses; The perfect way of finding people from a specific group 

    • Con: volunteer demand characteristic, volunteer bias

400

Geometric distributions can also be thought of as what?

Wait time until the first success

400

Significance test used when testing the claim about the difference between two population means and the population standard deviations are known.

2 samp Z test

400

Jotaro wants to make a one-sample z interval to estimate the proportion of dolphins in the ocean being bottle-nose. He wants his margin of error to be no more than 0.05 at the 97% confidence interval. What is the smallest sample size required to obtain the the desired margin of error?

A sample size of 471.

    Work - 2.17 * sqr (0.5*0.5/n) < = 0.05

        Sqr (0.25/n) < = 0.05/2.17

        Sqr (0.25)/0.0230414 < = Sqr (n)

        471 = n 


500

How to do you find expected counts using the matrix function? List the steps.

(1) Enter data from 2 way table into a matrix [2nd → matrix → edit → choose matrix and enter data corresponding to amount of columns and rows]. 

(2) Select x^2-Test [Stat → Tests → C: x^2-Test] 

(3) Observed should be [A] and Expected should be [B]. Calculate.

(4) Go back to the Matrix function and select B and press enter. Data shown are the expected counts. 

500

A research group designs a study to determine if heavy drinkers die at a younger age. They find that, after many statistical tests, that those who drink excessively are likely to die at a younger age. However, they also find that their non-drinking peers also die at a younger age. What are some confounding variables in this problem that may have resulted in this?

  • People might eat unhealthy or smoke

  • Their living conditions/environment is not the best

  • Family history of disease

  • Participating in high risk activities (occupational or social)
500

What does it mean if X and Y are normally distributed as are X+Y and X-Y?

Use normalCDF

500

What happens to alpha and beta when power decreases

alpha goes down, beta goes up

500

A rescue squad of 8 people is to be formed randomly from a group of 12 men and 9 women. Find the probability that the rescue squad will have 5 women and 3 men.

P(5 women and 3 men) = 9C5*12C3 / 21C8 = 0.136222

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