1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
jasenka [17]
3 years ago
10

The report "Teens and Distracted Driving: Texting, Talking and Other Uses of the Cell Phone Behind the Wheel" summarizes data fr

om a survey of a representative sample of 800 teens between the ages of 12 and 17. The following statements were made on the basis of the resulting data.
- 75% of all American teens own a cellphone
- 66% of all American teens use a cellphone to send a receive text messages
- 26% of American teens age 16-17 have used a cellphone to text while driving

Required:
a. Is the inference made one that involves estimation or one that involved hypothesis testing?
b. What is the population of interest? American teenagers? American teenagers between ages 12-17? Americans? Teenagers?
Mathematics
1 answer:
Sphinxa [80]3 years ago
7 0

Answer:

"Teens and Distracted Driving: Texting, Talking and Other Uses of the Cell Phone Behind the Wheel"

a. The inference made involves estimation.  The question provided that the statements were made on the basis of the resulting data and not on the basis of some hypothesis testing.

This implies that some statistics were calculated from sample data to approximate the population parameter, as shown in the statements.  The statements were not an attempt to establish the statistical significance of some claims.

b. The population of interest is American teenagers between 12-17.

Step-by-step explanation:

An inference from data is a statistical estimation by which some statistics are calculated based on the sample data of 800 teens between the ages of 12 and 17.  The statistics serve as an approximation to the population parameter.

Inference based on hypothesis testing establishes if a claim has statistical significance by providing  statistical evidence in favor of the claim or against it.

You might be interested in
What is the approximate value of point Y?<br><br> second picture is the answer's
Doss [256]
<h2>Hello!</h2>

The answer is: A. 2π

<h2>Why?</h2>

First,  in order to make it easier, let's convert the numbers into entire or decimal numbers.

A=2\pi=6.28\\B=2\sqrt{12}=6.92\\C=\sqrt{8}=2.82\\D=5.4

So, ordering it:

C, D, A, B

W=C=2.82\\X=D=5.4\\Y=A=6.28\\Z=B=6.92

So, Y=A=6.28

Have a nice day!

6 0
3 years ago
Factor completely 2cb + 7cx + 2b + 7x.
jeka94
2cb + 7cx + 2b + 7x\\\\(2cb + 7cx)+(2b + 7x)\\\\c(2b + 7x)+1( 2b + 7x)\\\\\boxed{\bf{(c+1)( 2b + 7x)}}

The answer is B.
4 0
3 years ago
Read 2 more answers
A fisheries biologist has been studying horseshoe crabs. She has sampled 100 horseshoe crabs and recorded their weight (in kilog
stellarik [79]

Answer:

C. 98

Step-by-step explanation:

The proposed regression equation is weight = b + width * m

R2 = 0.423

A.) What is the regression equation for this example?

The estimate for the y-intercepts is b= 2.3013 and the estimate for the slope is m= 0.7963

In general, we can symbolize the estimated regression equation as ^Y= b + m*Xi. For this example you have to replace it with the calculated values of the regression coefficients to obtain the estimated regression equation:

^Y= 2.3013 + 0.7963Xi

B.) What is the explanatory, or predictor, variable in this study?

The explanatory or predictor variable is the variable that is suspected to have an effect over the response variable. In this example the predictor variable is:

X: Width of a horseshoe crab (cm)

C.) If the researcher wanted to test whether there is a statistically significant relationship between these two variables, what would the test statistic be? Calculate it from the table above.

To test if the regression is significant, the parameter of study will be the slope of the regression equation, symbolically: β. If the slope is equal to zero "β=0" then there is no linear regression between the response and explanatory variable. If the slope is different from zero "β≠0" then the regression is significant and the explanatory variable affects the response variable.

The hypotheses are:

H₀: β=0

H₁: β≠0

α: 0.05

The value of the statistic under the null hypothesis is t= 8.48

D.) What can we say about the p-value?

This test is two-tailed and so is the p-value, remember that the p-value is the probabulity of obtaining a value as extreme as the value of the statistic under the null hypothesis. The distribution for this test is a t with n-2= 100-2= 98 degrees of freedom. You can calculate the p-value as:

P(t₉₈≤-8.48) + P(t₉₈≥8.48)= P(t₉₈ ≤ -8.48) + (1 - P(t₉₈ < 8.48) ≅ 0.00001

E.) Ultimately, the reason that we find test statistics is so that we can compare them to a null distribution. For regression, that is a t-distribution based on the degrees of freedom. With 98 degrees of freedom (100-2), we can safely say that the critical t (or the confidence multiplier) is what?

As mentioned before, this test is two tailed, meaning that the rejection region is divided in two:

Critical values ± = ± = ± 1.984

This means that you'll reject the null hypothesis when the statistic is t ≤ -1.984 or if the statistic is t ≥ 1.984-

F.) Find the confidence interval for the slope.

Using a 95% confidence level, the interval for the slope is:

[m ± Sm]

[0.7963 ± 1.984 * 0.0939]

[0.61; 0.98]

G.) Is there a statistically significant relationship? Answer with the test statistic and the confidence interval.

Yes, there is a significant relationship between the width and weight of the horseshoe crabs.

Using the critical value approach:

The calculated statistic is 8.48 and the critical value is ± 1.984, since the statistic is greater than the positive critical value, the decision is to reject the null hypothesis.

If you pay attention to the confidence interval, which was made at a confidence level complementary to the significance level of the hypothesis test, this interval [0.61; 0.98] doesn't include the "zero". Since the interval doesn't include the value of the parameter stated in the null hypothesis, you can conclude that this hypothesis is not true and therefore reject it.

4 0
3 years ago
You are buying snacks. You buy 4 apples and a juice. The juice costs $1.75. The total cost is $4.75. How much is 1 apple?
g100num [7]

Answer:

$75

Step-by-step explanation:

8 0
3 years ago
List the factor pairs of 186
miskamm [114]

Answer:1, 2, 3, 6, 31, 62, 93, 186.

Step-by-step explanation:

4 0
3 years ago
Other questions:
  • The sum of two numbers, x and y, is 12. The difference of x and two times y is 6. What are the values of x and y?
    6·1 answer
  • I need answer and work to please and thanks
    11·1 answer
  • There are 14 apples in a blanket. 9 of these apples are green. The rest of them are red.
    12·2 answers
  • Please halp meh—- at what X-coordination are the two functions equal?
    7·1 answer
  • Part A; <br> Part B; <br> Part C;
    9·1 answer
  • A pyramid shaped building is 836 ft tall with a square base that is 156 ft on each side. What is the volume of the​ pyramid?
    6·1 answer
  • Liza went out for pizza with her mom. Their meal cost $32. Sales tax is 5% and they decide to leave 15%
    5·1 answer
  • Rewrite the following expression in standard form by finding the product and collecting like terms.
    5·2 answers
  • Select the correct answer.
    6·2 answers
  • Jonathan cannot afford to pay cash for the cellphone in the Callnow shop. He can only afford to pay R400 per month. Determine th
    13·1 answer
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!