c. Smoking is associated with lower birth weights. When smokers are compared to nonsmokers, we are 95% confident that the mean weight of babies born to nonsmokers will be between 76.5 grams to 486.9 grams more than the mean birth weight of babies born to smokers.

Step-by-step explanation:

The difference in mean birth weights (nonsmokers minus smokers) is 281.7 grams with a margin of error of 205.2 grams with 95% confidence.

Then, we know that the 95% confidence interval is (76.5, 486.9)

$LL=M-MOE=281.7-205.2=76.5\\\\UL=M-MOE=281.7+205.2=486.9$

a. We are 95% confident that smoking causes lower birth weights by an average of between 76.5 grams to 486.9 grams.

False, it interprets the confidence interval as a probability for individual cases. The confidence interval is a range for the population mean.

b. There is a 95% chance that if a woman smokes during pregnancy her baby will weigh between 76.5 grams to 486.9 grams less than if she did not smoke.

False, it interprets the confidence interval as a probability for individual cases. The confidence interval is a range for the population mean.

c. Smoking is associated with lower birth weights. When smokers are compared to nonsmokers, we are 95% confident that the mean weight of babies born to nonsmokers will be between 76.5 grams to 486.9 grams more than the mean birth weight of babies born to smokers.

True.

d. With such a large margin of error, this study does not suggest that there is a difference in mean birth weights when we compare smokers to nonsmokers.

There is enough evidence, as the lower bound of the confidence is positive. This means that there is only a probability of 0.05/2=0.025 that the true mean weight difference is smaller than 76.5 grams.

6 0

3 years ago

NEED HELP!!! Please answer the question! WILL GIVE BRANILY! 15 POINTS!!!

algol [13]

Answer:

120 answer C :))) HOPE THIS HELPED!!

8 0

2 years ago

Read 2 more answers

What’s the difference between a factor and a multiple

olga nikolaevna [1]

Difference Between Factors and Multiples. A factor is a number that leaves no remainder behind after it divides the specific number.

6 0

3 years ago

Read 2 more answers

Randomly picking a green card from a standard deck of playing cards. 3. randomly picking a red card from a standard deck of play

Akimi4 [234]

Formula: probability = number of positive outputs / total number of possible events

Randomly picking a green card from a standard deck of playing cards.

A standard deck of playing cards does not have green cards, so the probability is 0.

3. randomly picking a red card from a standard deck of playing cards

Half of the cards from a standard deck of playing cards are red, so the probability is 0.5.

4. picking a number less than 15 from a jar with papers labeled from 1 to 12

All the papers have a number less than 15, so the probability of picking a number less than 15 is 1.

5. picking a number that is divisible by 5 from a jar with papers labeled from 1 to 12

The numbers divisible by 5 from 1 to 12 are 5 and 10, so there are two positive outputs from a total of 12 possible events and the probabily of picking a number that is divisible by 5 is 2 / 12 = 1/6.

Answr: 1/6.

use the complement to find each probability. (example 3)

8. what is the probability of not rolling a 5 on a standard number cube?

The probability of rolling a 5 is 1 out of 6 = 1/6

The complement is 1 - 1/6 = 5/6.

Therefore, the probability of not rolling a 5 is 5/6.

9. a spinner has 3 equal sections that are red, white, and blue. what is the probability of not landing on blue? 1

The probability of landing on blue is 1 / 3. The complement is 1 - 1/3 = 2/3.

Therefore, the probability of not landing on blue is 2/3.

2. describe an event that has a probability of 0% and an event that has a probability of 100%. essential question check-in ??

Rolling a 7 with a standard cube has probability 0%.

Rolling a number different from 7 from a standard cube has a probability of 100%.

10. a spinner has 5 equal sections marked 1 through 5. what is the probability of not landing on 4?

Each section has a probability of 1/5.

So not landing on 4 has a probability of 1 - 1/5 = 4/5.

11. there are 4 queens in a standard deck of 52 cards. you pick one card at random. what is the probability of not picking a queen?

Picking a queen has probability of 4/52 = 1/13.

The complement is 1 - 1/13 = 12/13.

Therefore, the probability of not picking a queen is 12/13.

6 0

3 years ago