# Question 1 (a)

# Question 1 (b)

# Question 3 (a)

Summarizing Distribution (SOCS)

Shape

- Skewed left/right

Outlier

Q1 - 1.5 * IQR

Q3 + 1.5 * IQR

Center

- Mean or Median

Spread

- SD or IQR

# Question 3 (b)

Conditions for Sampling Distribution (RIN)

Random

- How the sample is selected

Independent

N≥10n

N: population size

n: sample size

Normal

For

`means`

If the population is normally distributed, n can < 30

For proportions:

# Question 4

Hypothesis Test

Using a Statistic to test a claim about a Parameter

Steps (

**W**hy**C**an't**C**at**P**lay**I**nstruments)**W**rite the hypothesisNull hypothesis (H

_{0}): Parameter = ____Alternative hypothesis (H

_{1}/H_{a}): Parameter > or < or ≠ ______

**C**keck conditions (RIN)Random Sample

Independent: N >10n

Normal:

μ: n≥30

**C**alculate the test statistic

Mean

Proportion

Look up the

**P**-value (from Z table)- Probability that the null hypothesis (H
_{0}) is true, given the sample data you collected

- Probability that the null hypothesis (H
**I**nterpret

p < α | Reject the null hypothesis | do have evidence to support the claim |
---|---|---|

p > α | Fail to reject the null hypothesis | do not have evidence to support the claim |

Step 1

![States a correct pair of hypotheses. Let represent the population proportion of adults in the United States who would have answered "yes" about the effectiveness of television commercials in December

- Let P08 represent the analogous population proportion in December 2008. The hypotheses to be tested are Ho: = versus Ha • P08 ](./media/image385.png)

Step 2

Step 3

Step 4

# Question 5 (a)

Type I: falsely think alternative hypothesis is true (1 false), DO reject the null hypothesis (1 word)

Type II: falsely think alternative hypothesis is false (2 falses), DO NOT reject the null hypothesis (2 word)

# Question 5 (b)

# Question 5 (c)

# Question 6 (a)

# Question 6 (c)

# Question 6 (d)