Answer:
Step-by-step explanation:
You could also use increments of 4 degrees instead, so the first line to the right of the zero point represents 4 degrees Celsius, the second represents 8 degrees and so on. Having each line represent 4 degrees is useful, since the temperatures where Celsius and Fahrenheit correspond are multiples of 4 in both scales. It's ok if you give brainliest to the other person who answered first
 
        
             
        
        
        
Answer: it's -8
Step-by-step explanation: use the values of a, b, and c to find the discriminant. give me brainliestt
 
        
                    
             
        
        
        
Answer: $191.45
Step-by-step explanation:
This question requires the price of a bike in future so you can use the future value formula to calculate it:
Future value = Amount * (1 + rate)^ no. of periods
= 350 * (1 - 14%)⁴
= 350 * 0.54700816
= $191.45
<em>The rate is subtracted from 1 instead of being added to represent that the value is decreasing not increasing. </em>
 
        
             
        
        
        
Answer:
 
  
Step-by-step explanation:
Data given and notation 
n=530 represent the random sample taken
X=139 represent the yellow pods in the random sample
 estimated proportion of yellow pods
 estimated proportion of yellow pods 
 is the value that we want to test
 is the value that we want to test
 represent the significance level
 represent the significance level
z would represent the statistic (variable of interest)
 represent the p value (variable of interest)
 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 the true proportion is 0.25 or 25%:  
Null hypothesis: 
  
Alternative hypothesis: 
  
When we conduct a proportion test we need to use the z statistic, and the is given by:  
 (1)
 (1)  
The One-Sample Proportion Test is used to assess whether a population proportion  is significantly different from a hypothesized value
 is significantly different from a hypothesized value  .
.
Calculate the statistic  
Since we have all the info requires we can replace in formula (1) like this:  
