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amyeileen
12.03.2021 •
Mathematics
Mark a starting player for a major college basketball team, made only 46% of his free throws last season. During the summer he worked on developing a softer shot in hopes of improving his free throw accuracy. In the first eight games of this season, Mark made 24 free throws in 40 attempts. You want to investigate whether Mark's free-throw percentage for this season is more than 40%. Is there convincing evidence at the a= 0.01 significance level that Mark's free throw ability nas improved? (b Interpret the P-value.
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Ответ:
r represents a significant linear correlation.
Step-by-step explanation:
GIven : Linear correlation coefficient: r = 0.543
Sample size: n= 25
Significance levle:![\alpha=0.05](/tpl/images/0709/9279/bf34f.png)
Degree of freedom : n-2 = 25-2=23
Now, we check r critical value table for value with df = 23 and
.
Critical value = ±0.396 [From r critical value table]
Since r = 0.543 > 0.396, that means there is significant linear correlation.
Hence, r represents a significant linear correlation.