Ask question

Ask question

All categories

3 years ago

9

Suppose you were interested in testing the relationship between type of drug and relief from head ache. For this example, assume

you had counts of the number of persons taking two drugs (say, Aspirin and Tylenol) and their subsequent response in terms of headache was coded into two groups: "went away after taking the drug" or "did not go away". In this case, would you use a chi-square test of goodness of fit or a test of independence? A. Goodness of fit B Test of independence

1 answer:

liraira [26]3 years ago

6 0

Answer:

option B is correct

Step-by-step explanation:

since here we want to see if there is a relationship between two variables (taking different drug and headache levels_)

option B is correct

B. test of independence

You might be interested in

Pls help for brainliest answer

lina2011 [118]

Answer:

A. x = 24

B. x = 20

Step-by-step explanation:

<u>→A. Add 2 to both sides:</u>

<u /> $\frac{x}{3} -2=6$

$\frac{x}{3} =8$

→The fraction $\frac{x}{3}$ is really just $\frac{1}{3}x$ :

<u>→Multiply 3 to both sides:</u>

x = 24

<u>→B. Subtract 1 from both sides:</u>

<u /> $\frac{x}{5} +1=5$

$\frac{x}{5} =4$

The fraction $\frac{x}5}$ is really just $\frac{1}{5}x$ :

<u>→Multiply 5 to both sides:</u>

x = 20

8 0

3 years ago

1) Hot dogs are sold in packs of 10 and hot dog buns are sold in packs of 8. Tommy wants

liberstina [14]

Answer:

150

Step-by-step explanation

1- 10

2- 40

3- 80

4- 110

5- 150

10 to 40- is 30 between

40 -80 is 40 between

80 -110 is 30 between

110-150 is 40 between.

you have to keep the pattern going

5 0

2 years ago

The length of a room measures 12 feet .what is the length in yards?

stira [4]

12 feet = 4 yards.

I hope this helps!

8 0

4 years ago

Read 2 more answers

Solve this inequality for x.<br><br> 81 - 1 1/5x <_ 55

dsp73

Answer:

(61. 8181..., ~)

Step-by-step explanation:

-11/5x<-136

x>680/11

x>61. 8181...

6 0

4 years ago

A study is done to determine if students in the California state university system (sample 1) take longer to graduate, on averag

Debora [2.8K]

Answer:

We conclude that the students in the California state university system take longer to graduate as compared to students enrolled in private universities.

Step-by-step explanation:

We are given that from years of research, it is known that the population standard deviations are 1.5 years and 0.9 years, respectively.

One hundred students from each the California state university system and private universities are surveyed. The California state university system students took on average 4.8 years while the private university students took on average 4.4 years.

<em>Let </em> $\mu_1$ <em> = population average time taken by students in the California state university system to graduate</em>

<em> </em> $\mu_2$ = <em>population average time taken by students in the private universities to graduate</em>

SO, <u>Null Hypothesis</u>, $H_0$ : $\mu_1-\mu_2\leq0$ or $\mu_1 \leq \mu_2$ {means that the students in the California state university system take less than or equal time to graduate as compared to students enrolled in private universities}

<u>Alternate Hypothesis</u>, $H_A$ : $\mu_1-\mu_2 >0$ or $\mu_1>\mu_2$ {means that the students in the California state university system take longer to graduate as compared to students enrolled in private universities}

The test statistics that will be used here is <u>Two-sample z test</u> <u>statistics</u> as we know about the population standard deviations;

T.S. = $\frac{(\bar X_1-\bar X_2)-(\mu_1-\mu_2)}{\sqrt{\frac{\sigma_1^{2} }{n_1} + \frac{\sigma_2^{2} }{n_2}} }$ ~ N(0,1)

where, $\bar X_1$ = sample average time taken by the California state university system students to graduate = 4.8 years

$\bar X_2$ = sample average time taken by the private university students to graduate = 4.4 years

$\sigma_1$ = population standard deviation for California state university system students = 1.5 years

$\sigma_2$ = population standard deviation for private university students = 0.9 years

$n_1$ = sample of California state university system students taken = 100

$n_2$ = sample of private university students taken = 100

So, <em><u>test statistics</u></em> = $\frac{(4.8-4.4)-(0)}{\sqrt{\frac{1.5^{2} }{100} + \frac{0.9^{2} }{100}} }$

= 2.287

<em>Now at 0.10 significance level, the z table gives critical value of 1.2816 for right-tailed test. Since our test statistics is more than the critical value of z so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region.</em>

Therefore, we conclude that the students in the California state university system take longer to graduate as compared to students enrolled in private universities.

5 0

4 years ago