Answer:
The P-value is 0.0234.
Step-by-step explanation:
We are given that a statistics practitioner calculated the mean and the standard deviation from a sample of 400. They are x = 98 and s = 20.
Let = population mean.
So, Null Hypothesis, : = 100 {means that the population mean is equal to 100}
Alternate Hypothesis, : > 100 {means that the population mean is more than 100}
The test statistics that will be used here is One-sample t-test statistics because we're yet to know about the population standard deviation;
T.S. = ~
where, = sample mean = 98
s = sample standard deviation = 20
n = sample size = 400
So, the test statistics = ~
= -2
The value of t-test statistics is -2.
Now, the P-value of the test statistics is given by;
P( < -2) = 0.0234 {using the t-table}
Answer:
+
Step-by-step explanation:
938 + 347 = 1285
2007 - 1285 = 722
CHECK:
938 + 347 + 722 = 2007
Answer:
For the given functions, the value of g(5)-f(5) = 17
Step-by-step explanation:
Here, the given functions are:
f(x) = -3x + 17
So, f(5) = -3(5) + 17
= -15 + 17 = 2
And 
So, f(5) = 2 and g(5) = 19
⇒g(5) - f(5) = 19 - 2 = 17
Hence, for the given functions, the value of g(5)-f(5) = 17
Answer:
Good! thanks
Step-by-step explanation:
Answer:
H0 : flavor and serving size are independent
H1: Flavor and serving size are not independent
Step-by-step explanation:
The claim or hypothesis is to test if there is a relationship between the different types of flavor (vanilla, strawberry and chocolate) and the size (large, medium and. Small) being ordered. This is the the Alternative hypothesis, in other words to establish that flavor type and size are not independent, (that is the two variables are correlated).
The Null hypothesis will be the opposite of the alternative, establish that both variables are independent.
Hence ;
Null hypothesis ; H0 : flavor and serving size are independent
Alternative ; H1: Flavor and serving size are not independent
