Answer:
yes.
Step-by-step explanation:
if he's gone for EXACTLY 6 hours, the plant will be at -10°C when he returns. However, it's stated that he plans to be gone for AT LEAST 6 hours, which means he should probably put the plant indoors or somewhere warmer so he doesn't have to rush home.
Answer:
The radio station is at the center of a circle with an area of 40,000 square miles. The furthest point that you could hear the broadcast would be on the outer edge of the circle or at the end of the radius of the circle. The formula for the area of a circle is:
Area = π
So we take what we know and work the formula in reverse.
40,000 = πr²
40,000 / π = r²
12,732.4 = r²
√12,732.4 = √r²
112.84 = r
The radius of a circle with an area of 40,000 square miles is 112.84 miles. This is the furthest point that you would be able to hear the broad cast.
Step-by-step explanation:
0.056
B.
0.56
C.
5.6
Answer:
The correct answer is: [B]: " 0.56 " .
Step-by-step explanation:
Note:
" 56% = " " ;
= (56) ÷ (100) = 0.56 ;
→ which corresponds to: " Answer choice: [B]: " 0.56 " .
______________________________________________
Answer:
Null hypothesis: The American Society for Certified Public Accountants says the average starting salary of accountants who graduated in 2018 is $57,413
Alternate hypothesis: The American Society for Certified Public Accountants says the average starting salary of accountants who graduated in 2018 is less than or equal to $57,413
Step-by-step explanation:
A null hypothesis is a statement from a population parameter that is subject to testing. It is expressed with equality.
An alternate hypothesis is also a statement from the population parameter that negates the null hypothesis. It is expressed with inequality
The amount of chlorine needed to treat a swimming pool is directly proportional to the volume of the poolWhat is the constant of proportionality for this relationship
(a) For n = 6, CL = 90%,
The degrees of freedom: 5, Critical t-value: 2.571
(b) For n = 21, CL = 98%,
The degrees of freedom: 20, Critical t-value: 2.845
(c) For n = 29, CL = 95%,
The degrees of freedom: 28, Critical t-value: 2.048
(d) For n = 12, CL = 99%,
The degrees of freedom: 11, Critical t-value: 3.106
Use the concept of critical t- value defined as:
A critical value is a number that is used in hypothesis testing to compare to a test statistic and evaluate whether or not the null hypothesis should be rejected. The null hypothesis cannot be rejected if the test statistic's value is less extreme than the crucial value.
(a) Given that,
n = 6 and a confidence level of 90%,
The degrees of freedom are,
n-1 = 6-1
The degrees of freedom = 5.
To find the critical t-value,
Look it up in the t-distribution table using a confidence level of 90% and a degree of freedom of 5.
From the table,
The critical t-value is approximately 2.571.
(b) Given that,
n = 21 and a confidence level of 98%,
The degrees of freedom are,
n-1 = 21-1
The degrees of freedom = 20.
By referring to the t-distribution table with a confidence level of 98% and degrees of freedom of 20,
The critical t-value is approximately 2.845.
(c) Given that,
n = 29 and a confidence level of 95%,
The degrees of freedom are,
n-1 = 29-1
The degrees of freedom = 28
Using the t-distribution table with a confidence level of 95% and degrees of freedom of 28,
The critical t-value is approximately 2.048.
(d) Given that,
n = 12 and a confidence level of 99%,
The degrees of freedom are,
n-1 = 12-1
The degrees of freedom = 11
By consulting the t-distribution table with a confidence level of 99% and degrees of freedom of 11,
The critical t-value is approximately 3.106.
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To find the degrees of freedom and critical t-value for each given sample size and confidence level, we can use the t-distribution and a t-table. The degrees of freedom (df) for each sample is equal to the sample size minus 1. The critical t-value can be found using the t-table with the corresponding degrees of freedom and the confidence level.
To find the degrees of freedom and critical t-value for each given sample size and confidence level, we can use the t-distribution and a t-table. The degrees of freedom (df) for each sample is equal to the sample size minus 1. For example, for (a) n = 6, df = 6 - 1 = 5. The critical t-value can be found using the t-table with the corresponding degrees of freedom and the confidence level.
For (a) n = 6, CL = 90%, the critical t-value is approximately 1.943.
For (b) n = 21, CL = 98%, the critical t-value is approximately 2.861.
For (c) n = 29, CL = 95%, the critical t-value is approximately 2.045.
For (d) n = 12, CL = 99%, the critical t-value is approximately 3.106.
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B 3 m
C square root 12 m
D square root 18 m
HELP HELP HELp Due by the end of class