Question

In: Math

A report states that adults 18- to 24- years-old send and receive 128 texts every day....

A report states that adults 18- to 24- years-old send and receive 128 texts every day. Suppose we take a sample of 25- to 34- year-olds to see if their mean number of daily texts differs from the mean for 18- to 24- year-olds.

(a) State the null and alternative hypotheses we should use to test whether the population mean daily number of texts for 25- to 34-year-olds differs from the population daily mean number of texts for 18- to 24-year-olds. (Enter != for ≠ as needed.)

H0:

Ha:

(b) Suppose a sample of thirty 25- to 34-year-olds showed a sample mean of 118.9 texts per day. Assume a population standard deviation of 33.17 texts per day.

Compute the p-value. (Round your answer to four decimal places.)

p-value =

(c) With α = 0.05 as the level of significance, what is your conclusion?

(d) Repeat the preceding hypothesis test using the critical value approach.

State the null and alternative hypotheses. (Enter != for ≠ as needed.)

H0:

Ha:

(e) Find the value of the test statistic. (Round your answer to two decimal places.)

State the critical values for the rejection rule. (Use α = 0.05. Round your answer to two decimal places. If the test is one-tailed, enter NONE for the unused tail.)

test statistic≤

test statistic≥

(f)

State your conclusion.

Do not reject H0. We cannot conclude that the population mean daily texts for 25- to 34-year-olds differs significantly from the population mean of 128 daily texts for 18- 24-year-olds.

Reject H0. We cannot conclude that the population mean daily texts for 25- to 34-year-olds differs significantly from the population mean of 128 daily texts for 18- 24-year-olds.   

Do not reject H0. We can conclude that the population mean daily texts for 25- to 34-year-olds differs significantly from the population mean of 128 daily texts for 18- 24-year-olds.

Reject H0. We can conclude that the population mean daily texts for 25- to 34-year-olds differs significantly from the population mean of 128 daily texts for 18- 24-year-olds.

Solutions

Expert Solution

(a)

H0: = 128

Ha: 128

(b)

SE = /

= 33.17/

= 6.0560

Test Statistic is given by:
Z = (118.9 - 128)/6.0560

= - 1.5026

Table of Area Under Standard Normal Curve gives area = 0.4332

So,

p- value = (0.5 - 0.4332) X 2 = 0.1336

(c)

Since p - value = 0.1335 is greater than = 0.05, the difference is not significant. Fail to reject null hypothesis.

Conclusion:
The data do not support the claim that their mean number of daily texts differs from the mean for 18- to 24- year-olds.

(d)

H0: = 128

Ha: 128

SE = /

= 33.17/

= 6.0560

Test Statistic is given by:
Z = (118.9 - 128)/6.0560

= - 1.50

= 0.05

From Table, critical values of Z = 1.96.

Test statistic > Critical value

Since calculated value of Z = - 1.50 is greater than critical value of Z = - 1.96, the difference is not significant. Fail to reject null hypothesis.

Conclusion:
The data do not support the claim that their mean number of daily texts differs from the mean for 18- to 24- year-olds.

(f)

Correct option:

Do not reject H0. We cannot conclude that the population mean daily texts for 25- to 34-year-olds differs significantly from the population mean of 128 daily texts for 18- 24-year-olds.


Related Solutions

A report states that adults 18- to 24- years-old send and receive 128 texts every day....
A report states that adults 18- to 24- years-old send and receive 128 texts every day. Suppose we take a sample of 25- to 34- year-olds to see if their mean number of daily texts differs from the mean for 18- to 24- year-olds. (a) State the null and alternative hypotheses we should use to test whether the population mean daily number of texts for 25- to 34-year-olds differs from the population daily mean number of texts for 18- to...
A report states that adults 18- to 24- years-old send and receive 128 texts every day....
A report states that adults 18- to 24- years-old send and receive 128 texts every day. Suppose we take a sample of 25- to 34- year-olds to see if their mean number of daily texts differs from the mean for 18- to 24- year-olds. (a) State the null and alternative hypotheses we should use to test whether the population mean daily number of texts for 25- to 34-year-olds differs from the population daily mean number of texts for 18- to...
Adults aged 18 years old and older were randomly selected for a survey on obesity. Adults...
Adults aged 18 years old and older were randomly selected for a survey on obesity. Adults are considered obese if their body mass index (BMI) is at least 30. The researchers wanted to determine if the proportion of women in the south who are obese is less than the proportion of southern men who are obese. The results are shown in the table below. # who are obese sample size Men 42,769 155,525 Women 67,169 248,775 At the1% level of...
You receive $500 today and every month for the next 20 years. You will receive this...
You receive $500 today and every month for the next 20 years. You will receive this payment at the beginning of the month. Assume you can earn 5% on this annuity. How much is it worth?
The cholesterol levels, among young adults between the age of 18 and 24, follows a normal...
The cholesterol levels, among young adults between the age of 18 and 24, follows a normal distribution with an average of 178mg/dL and a standard deviation of 41mg/dL. a) Find the probability that a randomly selected young adult has a cholesterol level between 155 and 200. b) Suppose a doctor wants to prescribe a certain medication only to young adults with a cholesterol level in the top 12% of the population. What is the minimum cholesterol level for which the...
Springfield Tech is a large university. They receive thousands of applications every year and accept 18%...
Springfield Tech is a large university. They receive thousands of applications every year and accept 18% of their applicants. A random sample of 30 applicants is selected. We are interested in the number of applicants of sample that are accepted. Find the probability that at least 3 of the 30 applicants are accepted. Find the probability that at most 3 of the 30 applicants are accepted. Find the probability that exactly 4 of the 30 applicants are accepted. Find the...
The patient is an 18 – day – old female who at presentation was brought to...
The patient is an 18 – day – old female who at presentation was brought to the emergency department by her mother after a three – day bout of coughing. Her mother also reported that her daughter had been “spitting up” more than usual and had episodes of tachypnea. During the initial exam, a rapid respiratory syncytial (RSV) test was obtained with negative results. A review of systems was notable only for a nonproductive cough. Her pulse was 168 beats/min,...
In the United States in 2007, the proportion of adults age 21-24 who had no medical...
In the United States in 2007, the proportion of adults age 21-24 who had no medical insurance was 28.1%. A survey of 75 recent college graduates in this age range finds that 30 of them are without insurance. Does this support a difference from the nationwide? • Perform a two-sided significance test in R for a proportion, following the procedure of seven steps in the lecture note (choose a significance level of 0.05). • Use the related function in R...
Consider a common disorder, which we will call Z, that affects 18% of adults (18 years...
Consider a common disorder, which we will call Z, that affects 18% of adults (18 years and over) in the U.S. Fortunately, there is a genetic screening test for the gene that causes disorder Z. The test is 98% accurate; that is, 98% of the people who take the test get the correct result (and 2% of people tested get the wrong result). In Johnsonville, the adult population is 150,000 and all the residents get tested for the gene linked...
Consider a common disorder, which we will call Z, that affects 18% of adults (18 years...
Consider a common disorder, which we will call Z, that affects 18% of adults (18 years and over) in the U.S. Fortunately, there is a genetic screening test for the gene that causes disorder Z. The test is 98% accurate; that is, 98% of the people who take the test get the correct result (and 2% of people tested get the wrong result). In Johnsonville, the adult population is 150,000 and all the residents get tested for the gene linked...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT