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Phantasy [73]
3 years ago
15

An academic adviser wanted to investigate the amount of money spent by students on textbooks. She randomly sampled 25 students a

nd asked how much they had spent on textbooks. What would be the appropriate graph to make of the sampled data?a) histogramb)piechartc)scatterplotd)bar chart
Mathematics
1 answer:
ladessa [460]3 years ago
8 0

you should try a bar graph!!!

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Clarinex is a drug used to treat asthma. In clinical tests of this drug, 1655 patients were treated with 5- mg doses of Clarinex
bagirrra123 [75]

Answer:

z=\frac{0.021 -0.012}{\sqrt{\frac{0.012(1-0.012)}{1655}}}=3.363  

p_v =P(z>3.363)=0.00039  

So the p value obtained was a very low value and using the significance level given \alpha=0.01 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of interest is significantly higher than 0.012 (1.2%)

Step-by-step explanation:

Data given and notation

n=1655 represent the random sample taken

\hat p=0.021 estimated proportion of interest

p_o=0.012 is the value that we want to test

\alpha=0.01 represent the significance level

Confidence=99% or 0.99

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that true proportions is higher than 0.012.:  

Null hypothesis:p \leq 0.012  

Alternative hypothesis:p > 0.012  

When we conduct a proportion test we need to use the z statisitic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.021 -0.012}{\sqrt{\frac{0.012(1-0.012)}{1655}}}=3.363  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.01. The next step would be calculate the p value for this test.  

Since is a right tailed test the p value would be:  

p_v =P(z>3.363)=0.00039  

So the p value obtained was a very low value and using the significance level given \alpha=0.01 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 1% of significance the proportion of interest is significantly higher than 0.012 (1.2%)

3 0
3 years ago
Can anybody answer this equation?? <br> [[ WILL GIVE BRAINLIEST FOR RIGHT ANSWER ]] (:
Luden [163]

Answer: a + d = 180 degrees is false

8 0
3 years ago
If D + E = 7, and 2D + 2E + 8J = 19, then what is J?
poizon [28]

Answer:

Technically, you'd have to solve that, I'm sorry.

Step-by-step explanation:

19/8 - d/4 - e/4

3 0
3 years ago
8x + 5 = 29<br> -5 -5<br> 8x/8 =24/8. X=3
forsale [732]

Answer:

12

Step-by-step explanation:

8 0
2 years ago
for the data in the table, does y vary directly with x? if it does, write an equation for the direct variation
algol13

Answer:

No; y does not very directly with x.

Step-by-step explanation:

y=2x: 2×6 is not 18

y=3x: 2×3 is not 6

y=4x: 3×4 is not 6

8 0
3 years ago
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