Answer:
B
Step-by-step explanation:
hope this can help you very much
Answer:
Fail to reject.
Step-by-step explanation:
For a goodness of fit test the decision rule is:
If the calculated value of the test statistic is more than the right tailed critical value of chi-square, then the null hypothesis will be rejected.
The hypothesis for a goodness of fit test is:
<em>H</em>₀: There is no differences between the observed and expected frequencies.
<em>Hₐ</em>: There is a significant differences between the observed and expected frequencies.
The computed value of the test statistic is, 6.079.
The critical value of chi-square is 9.488.
Calculated test statistic < Critical value
6.079 < 9.488
Thus, the null hypothesis was failed to rejected.
Answer:
<em>t = 65 - 4d</em>
Step-by-step explanation:
<u>Linear Modeling</u>
The temperature in St. Louis dropped by 4 degrees every day in one week.
When d days have passed, the temperature will have dropped by 4d degrees.
We know the temperature t at the beginning of the week was 65 degrees.
Thus, when d days pass, the linear model for the temperature t is:
t = 65 - 4d
Answer:
C
Step-by-step explanation:
If I am understanding the question, it is just asking what the possible choices are, and how many of each.
Answer: 17 players
Step-by-step explanation: 1780.50-1151.50=629, 629/37 = 17