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antiseptic1488 [7]
3 years ago
6

A deli has a special one day event to celebrate. On the day of the event every eighth customer receives a free drink. Every twel

fth customer receives a free sandwich. If 200 customers show up for the event, how many of the customers will receive both a free drink and a free sandwich?
Mathematics
2 answers:
Marrrta [24]3 years ago
7 0

Answer:

8

Step-by-step explanation:

Find the HCF or GCF of 8 and 12 which is 24. now total customers are 200, now divide 200 by 24 and you will get quotient 8 and it shows 8 people will get both drink and sandich

frozen [14]3 years ago
4 0
<span>For this we have to see which numbers below 200 are both divisible by 8 and 12. Who get free drink - 8,16,24,32,40,48,56,64,72,80,88,96,104,112,120,128,136,144,152,160,168,176,184,192,200 Who get free sandwich 12,24,36,48,60,72,84,96,108,120,132,144,156,168,180,192 Find common numbers 24,48,72,96,120,144,168,192 The answer is 8</span>
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Answer:

Null hypothesis:\mu = 65  

Alternative hypothesis:\mu \neq 65

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

For this case the value of \mu represent the parameter associated to the population (True average of cofee temperature)

Step-by-step explanation:

Data given and notation  

\bar X=70.2 represent the mean height for the sample  

s represent the sample standard deviation for the sample  

n=20 sample size  

\mu_o =765 represent the value that we want to test

\alpha represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the true mean i equal to 70.2, the system of hypothesis would be:  

Null hypothesis:\mu = 65  

Alternative hypothesis:\mu \neq 65  

If we analyze the size for the sample is < 30 and we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

For this case the value of \mu represent the parameter associated to the population (True average of cofee temperature)

3 0
3 years ago
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PSYCHO15rus [73]
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   0 = (x² - 1)(x + 3)
   0 = (x² + x - x - 1)(x + 3)
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Step-by-step explanation:

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