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Evgen [1.6K]
3 years ago
5

Select the correct answer.

Mathematics
2 answers:
Ilia_Sergeevich [38]3 years ago
6 0

Answer:b

Step-by-step explanation:

vladimir2022 [97]3 years ago
3 0

Answer:

B.

-786,432

Step-by-step explanation:

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HW5 Box Plot (grade) Categorical Data 6th grade
Anit [1.1K]

Step-by-step explanation:

5 0
3 years ago
Experian would like to test the hypothesis that the average credit score for an adult in Virginia is different from the average
aliya0001 [1]

Answer:

a. We fail to reject the hypothesis that the average credit score for an adult in Virginia is different from the average credit score for an adult in North Carolina at the significance level of 0.05.

b. The 95% confidence interval for the true difference of means is -2.2468 and 36.2468. There is a probability of 95% that the true difference of means \mu_{1}-\mu_{2} is between -2.2468 and 36.2468. This confidence interval contains the number 0, this is consistent with the results we got in a. Because we fail to reject the hypothesis that the average credit score for an adult in Virginia is different from the average credit score for an adult in North Carolina at the significance level of 0.05.

Step-by-step explanation:

Let \mu_{1}-\mu_{2} be the true difference between the average credit score for an adult in Virginia and the average credit score for an adult in North Carolina. We have the large sample sizes n_{1} = 40 and n_{2} = 35, the unbiased point estimate for \mu_{1}-\mu_{2} is \bar{x}_{1} - \bar{x}_{2}, i.e., 699-682 = 17.

The standard error is given by \sqrt{\frac{\sigma^{2}_{1}}{n_{1}}+\frac{\sigma^{2}_{2}}{n_{2}}}, i.e.,

\sqrt{\frac{(44)^{2}}{40}+\frac{(41)^{2}}{35}} = 9.8198.

a. We want to test H_{0}: \mu_{1}-\mu_{2} = 0 vs H_{1}: \mu_{1}-\mu_{2} \neq 0 (two-tailed alternative). The rejection region is given by RR = {z | z < -1.96 or z > 1.96} where -1.96 and 1.96 are the 2.5th and 97.5th quantiles of the standard normal distribution respectively. The test statistic is Z = \frac{\bar{x}_{1} - \bar{x}_{2}-0}{\sqrt{\frac{\sigma^{2}_{1}}{n_{1}}+\frac{\sigma^{2}_{2}}{n_{2}}}} and the observed value is z_{0} = \frac{17}{9.8198} = 1.7312. Because 1.7312 does not fall inside RR, we fail to reject the null hypothesis.

b. The endpoints for a 95% confidence interval for \mu_{1}-\mu_{2} is given by 17\pm (z_{0.05/2})9.8198, i.e., 17\pm (z_{0.025})9.8198 where z_{0.025} is the 2.5th quantile of the standard normal distribution, i.e., -1.96, so, we have 17-(1.96)(9.8198) and 17+(1.96)(9.8198), i.e., -2.2468 and 36.2468. There is a probability of 95% that the true difference of means \mu_{1}-\mu_{2} is between -2.2468 and 36.2468. This confidence interval contains the number 0, this is consistent with the results we got in a. Because we fail to reject the hypothesis that the average credit score for an adult in Virginia is different from the average credit score for an adult in North Carolina at the significance level of 0.05.

3 0
3 years ago
What is 4/15 divide 10/13
geniusboy [140]
I hope this will help you.

4 0
3 years ago
On the first day of vacation, you read one-quarter of a novel. On the second day, you read half of the remaining pages. On the t
OverLord2011 [107]

The computation shows that the number of pages is 320.

The number of pages read in this second day will be 120.

<h3>How to illustrate the information?</h3>

Fraction read on first day = 1/4

Fraction news on second day = 1/2 × 3/4 = 3/8

Fraction read on last day = 1 - (1/4 + 3/8) =3/8

The number of pages that the book has will be:

= 3/8 × x = 120

0.375x = 120

x = 120/0.375

x = 320

The number of pages is 320.

b. The number of pages read on this second day will be:

= 3/8 × 320

= 120

Learn more about computations on:

brainly.com/question/4658834

#SPJ1

4 0
2 years ago
Question
shusha [124]

Answer:

5x cars

Step-by-step explanation:

(# of cars washed) = (# cars washed per day)(# of days)

                                        =  (x/day)               *       (5 days)   = 5x

                                                                                                   cars                          

5 0
3 years ago
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